From c67e23deab79b78434e55110cc20692cee2f1b31 Mon Sep 17 00:00:00 2001
From: DhruvvChoudhary <99139652+DhruvvChoudhary@users.noreply.github.com>
Date: Mon, 7 Feb 2022 01:08:38 +0530
Subject: [PATCH 1/2] Update Python_Exercises.py
---
Python_Exercises.py | 336 ++++++++++++++++++++++++++------------------
1 file changed, 197 insertions(+), 139 deletions(-)
diff --git a/Python_Exercises.py b/Python_Exercises.py
index d7e6135..d217998 100644
--- a/Python_Exercises.py
+++ b/Python_Exercises.py
@@ -1,237 +1,295 @@
-
-# ## Exercises
+ ### Exercises
# Answer the questions or complete the tasks outlined in bold below.
-def power(a,b):
-
- # ** What is 7 to the power of 4?**
-
- return None
+def power(p, q):
+ # * What is 7 to the power of 4?*
+ x = p ** q
+ return x
+
+y = power(7, 4)
+print(y)
def split_str(s):
-
- # ** Split this string:**
-#
-# s = "Hi there Sam!"
-#
-# **into a list. **
+ # * Split this string:*
+ #
+ # s = "Hi there Sam!"
+ #
+ # *into a list. *
+ lst1 = s.split()
+ return lst1
+split_str(s="Hi there Sam!")
- return None
+def format(planet, diameter):
+ # * Given the variables:*
+ #
+ # planet = "Earth"
+ # diameter = 12742
+ #
+ # * Use .format() to print the following string: *
+ #
+ # The diameter of Earth is 12742 kilometers.
+ return "The diameter of {one} is {two} kilometers.".format(one=planet, two=diameter)
-def format(planet,diameter):
-
-# ** Given the variables:**
-#
-# planet = "Earth"
-# diameter = 12742
-#
-# ** Use .format() to print the following string: **
-#
-# The diameter of Earth is 12742 kilometers.
- return None
+format(planet="Earth", diameter=12742)
+
def indexing(lst):
-
-# ** Given this nested list, use indexing to grab the word "hello" **
+ # * Given this nested list, use indexing to grab the word "hello" *
-#lst = [1,2,[3,4],[5,[100,200,['hello']],23,11],1,7]
+ # lst = [1,2,[3,4],[5,[100,200,['hello']],23,11],1,7]
- return None
+ return lst[3][1][2][0]
+
+
+indexing(lst=[1, 2, [3, 4], [5, [100, 200, ['hello']], 23, 11], 1, 7])
def dictionary(d):
-
-# ** Given this nested dictionary grab the word "hello". Be prepared, this will be annoying/tricky **
+ # * Given this nested dictionary grab the word "hello". Be prepared, this will be annoying/tricky *
-# d = {'k1':[1,2,3,{'tricky':['oh','man','inception',{'target':[1,2,3,'hello']}]}]}
+ # d = {'k1':[1,2,3,{'tricky':['oh','man','inception',{'target':[1,2,3,'hello']}]}]}
+ return d['k1'][3]['tricky'][3]['target'][3]
- return None
+
+dictionary(d={'k1': [1, 2, 3, {'tricky': ['oh', 'man', 'inception', {'target': [1, 2, 3, 'hello']}]}]})
def subjective():
-
-# ** What is the main difference between a tuple and a list? **
-# Tuple is _______
+ # * What is the main difference between a tuple and a list? *
+ # Tuple is ___
+ # Tuple is immutable , the values/strings assigned to it once cannot be changed later
+ # Whereas in list we can change the values assigned to it whenever we want
+ return "Immutable"
- return None
+subjective()
+def domainGet():
+ # * Create a function that grabs the email website domain from a string in the form: *
+ #
+ # user@domain.com
+ #
+ # *So for example, passing "user@domain.com" would return: domain.com*
+ email = "cops@iitbhu.com"
+ x = email.split("@")
-def domainGet(email):
-
- # ** Create a function that grabs the email website domain from a string in the form: **
-#
-# user@domain.com
-#
-# **So for example, passing "user@domain.com" would return: domain.com**
+ return x[1]
- return None
+domainGet()
-def findDog(st):
-
-# ** Create a basic function that returns True if the word 'dog' is contained in the input string. Don't worry about edge cases like a punctuation being attached to the word dog, but do account for capitalization. **
+def findDog(st="see there is a Dog"):
+ # * Create a basic function that returns True if the word 'dog' is contained in the input string. Don't worry about edge cases like a punctuation being attached to the word dog, but do account for capitalization. *
+ st.lower()
+ lst2 = st.split()
+ if 'dog' or 'Dog' or 'dOg' or 'DOG' or 'doG' or 'DoG' in lst2:
+ print('true')
+ else:
+ print('false')
return None
-def countDog(st):
+findDog()
-# ** Create a function that counts the number of times the word "dog" occurs in a string. Again ignore edge cases. **
+def countDog(st='a dog is a dog and dog barks'):
+ # * Create a function that counts the number of times the word "dog" occurs in a string. Again ignore edge cases. *
+ counting = st.count('dog')
+ print(counting)
return None
+countDog()
-def lambdafunc(seq):
-
- # ** Use lambda expressions and the filter() function to filter out words from a list that don't start with the letter 's'. For example:**
-#
-# seq = ['soup','dog','salad','cat','great']
-#
-# **should be filtered down to:**
-#
-# ['soup','salad']
- return None
+def lambdafunc(seq=['soup', 'dog', 'salad', 'cat', 'great']):
+ # * Use lambda expressions and the filter() function to filter out words from a list that don't start with the letter 's'. For example:*
+ #
+ # seq = ['soup','dog','salad','cat','great']
+ #
+ # *should be filtered down to:*
+ #
+ # ['soup','salad']
-def caught_speeding(speed, is_birthday):
-
-
-# **You are driving a little too fast, and a police officer stops you. Write a function
-# to return one of 3 possible results: "No ticket", "Small ticket", or "Big Ticket".
-# If your speed is 60 or less, the result is "No Ticket". If speed is between 61
-# and 80 inclusive, the result is "Small Ticket". If speed is 81 or more, the result is "Big Ticket". Unless it is your birthday (encoded as a boolean value in the parameters of the function) -- on your birthday, your speed can be 5 higher in all
-# cases. **
+ return list(filter(lambda x: x[0] in 's', seq))
+
+lambdafunc()
+
+
+def caught_speeding():
+ # **You are driving a little too fast, and a police officer stops you. Write a function
+ # to return one of 3 possible results: "No ticket", "Small ticket", or "Big Ticket".
+ # If your speed is 60 or less, the result is "No Ticket". If speed is between 61
+ # and 80 inclusive, the result is "Small Ticket". If speed is 81 or more, the result is "Big Ticket". Unless it is your birthday (encoded as a boolean value in the parameters of the function) -- on your birthday, your speed can be 5 higher in all
+ # cases. **
+ speed = int(input('Enter the speed of the driver'))
+ if speed <= 60:
+ print('No Ticket')
+ if speed > 60 and speed < 80:
+ print('Small Ticket')
+ if speed > 80:
+ print('Big Ticket')
return None
+caught_speeding()
+
## Numpy Exercises
import numpy as np
def create_arr_of_fives():
-
- #### Create an array of 10 fives
- #### Convert your output into list
- #### e.g return list(arr)
+ #### Create an array of 10 fives
+ #### Convert your output into list
+ #### e.g return list(arr)
+ arr = np.array([5, 5, 5, 5, 5, 5, 5, 5, 5, 5])
- return None
+ return list(arr)
+create_arr_of_fives()
+
def even_num():
-
- ### Create an array of all the even integers from 10 to 50
- ### Convert your output into list
- ### e.g return list(arr)
+ ### Create an array of all the even integers from 10 to 50
+ ### Convert your output into list
+ ### e.g return list(arr)
+ a = np.arange(10, 51, 2)
+
+ return list(a)
- return None
+even_num()
def create_matrix():
-
- ### Create a 3x3 matrix with values ranging from 0 to 8
- ### Convert your output into list
- ### e.g return (arr).tolist()
+ ### Create a 3x3 matrix with values ranging from 0 to 8
+ ### Convert your output into list
+ ### e.g return (arr).tolist()
+ b = np.random.randint(1, 9, 9)
+ b = b.reshape(3, 3)
+ print(b) # This will print a 3*3 matrix
+ b = b.tolist() # Converted that matrix into list
+
+ return type(b)
- return None
+create_matrix()
def linear_space():
-
- ### Create an array of 20 linearly spaced points between 0 and 1
- ### Convert your output into list
- ### e.g return list(arr)
+ ### Create an array of 20 linearly spaced points between 0 and 1
+ ### Convert your output into list
+ ### e.g return list(arr)
+ c = np.arange(0, 1, 0.05)
+
+ return c
+
+
+linear_space()
- return None
def decimal_mat():
-
- ### Create an array of size 10*10 consisting of numbers from 0.01 to 1
- ### Convert your output into list
- ### e.g return (arr).tolist()
+ ### Create an array of size 10*10 consisting of numbers from 0.01 to 1
+ ### Convert your output into list
+ ### e.g return (arr).tolist()
+ d = np.arange(0.01, 1.0001, 0.01).reshape(10, 10)
+
+ return d
- return None
+decimal_mat()
def slices_1():
-
- # This is a given array
- arr = np.arange(1,26).reshape(5,5)
- # array([[ 1, 2, 3, 4, 5],
- # [ 6, 7, 8, 9, 10],
- # [11, 12, 13, 14, 15],
- # [16, 17, 18, 19, 20],
- # [21, 22, 23, 24, 25]])
+ # This is a given array
+ arr = np.arange(1, 26).reshape(5, 5)
+ # array([[ 1, 2, 3, 4, 5],
+ # [ 6, 7, 8, 9, 10],
+ # [11, 12, 13, 14, 15],
+ # [16, 17, 18, 19, 20],
+ # [21, 22, 23, 24, 25]])
+
+ # Write a code to slice this given array
+ ### Convert your output into list
+ ### e.g return (arr).tolist()
+ # array([[12, 13, 14, 15],
+ # [17, 18, 19, 20],
+ # [22, 23, 24, 25]])
+ arr = arr[2:, 1:]
+
- # Write a code to slice this given array
- ### Convert your output into list
- ### e.g return (arr).tolist()
- # array([[12, 13, 14, 15],
- # [17, 18, 19, 20],
- # [22, 23, 24, 25]])
- return None
+ return arr.tolist()
+
+
+slices_1()
def slices_2():
-
- # This is a given array
- arr = np.arange(1,26).reshape(5,5)
- # array([[ 1, 2, 3, 4, 5],
- # [ 6, 7, 8, 9, 10],
- # [11, 12, 13, 14, 15],
- # [16, 17, 18, 19, 20],
- # [21, 22, 23, 24, 25]])
+ # This is a given array
+ arr = np.arange(1, 26).reshape(5, 5)
+ # array([[ 1, 2, 3, 4, 5],
+ # [ 6, 7, 8, 9, 10],
+ # [11, 12, 13, 14, 15],
+ # [16, 17, 18, 19, 20],
+ # [21, 22, 23, 24, 25]])
+
+ # Write a code to slice this given array
+ ### Convert your output into list
+ ### e.g return (arr).tolist()
+ # array([[ 2],
+ # [ 7],
+ # [12]])
+ arr = arr[:3, 1]
+ arr = arr.reshape(3, 1)
+
+
- # Write a code to slice this given array
- ### Convert your output into list
- ### e.g return (arr).tolist()
- # array([[ 2],
- # [ 7],
- # [12]])
+ return arr.tolist()
- return None
+slices_2()
def slices_3():
-
- # This is a given array
- arr = np.arange(1,26).reshape(5,5)
- # array([[ 1, 2, 3, 4, 5],
- # [ 6, 7, 8, 9, 10],
- # [11, 12, 13, 14, 15],
- # [16, 17, 18, 19, 20],
- # [21, 22, 23, 24, 25]])
-
- # Write a code to slice this given array
- ### Convert your output into list
- ### e.g return (arr).tolist()
- # array([[16, 17, 18, 19, 20],
- # [21, 22, 23, 24, 25]])
-
- return None
+ # This is a given array
+ arr = np.arange(1, 26).reshape(5, 5)
+ # array([[ 1, 2, 3, 4, 5],
+ # [ 6, 7, 8, 9, 10],
+ # [11, 12, 13, 14, 15],
+ # [16, 17, 18, 19, 20],
+ # [21, 22, 23, 24, 25]])
+
+ # Write a code to slice this given array
+ ### Convert your output into list
+ ### e.g return (arr).tolist()
+ # array([[16, 17, 18, 19, 20],
+ # [21, 22, 23, 24, 25]])
+ arr = arr[3:, :]
+ print(arr)
+
+
+ return (arr).tolist()
+
+slices_3()
# Great job!
From e288bfcdb99b543d93e9dbfb90bba0bb3c451a9e Mon Sep 17 00:00:00 2001
From: Dhruv <99139652+DC769@users.noreply.github.com>
Date: Wed, 6 Mar 2024 00:57:19 +0530
Subject: [PATCH 2/2] Created using Colaboratory
---
DC_UG_project.ipynb | 1312 +++++++++++++++++++++++++++++++++++++++++++
1 file changed, 1312 insertions(+)
create mode 100644 DC_UG_project.ipynb
diff --git a/DC_UG_project.ipynb b/DC_UG_project.ipynb
new file mode 100644
index 0000000..9a00756
--- /dev/null
+++ b/DC_UG_project.ipynb
@@ -0,0 +1,1312 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "provenance": [],
+ "authorship_tag": "ABX9TyNGgD9gwrYSnxdu5kdnjKx/",
+ "include_colab_link": true
+ },
+ "kernelspec": {
+ "name": "python3",
+ "display_name": "Python 3"
+ },
+ "language_info": {
+ "name": "python"
+ }
+ },
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "source": [
+ "
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [],
+ "metadata": {
+ "id": "uduc4ld2uXmH"
+ }
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip3 install wheel"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "I1tOqjqmxgMY",
+ "outputId": "f02cdd97-c221-4507-a3a3-b2b9e246ff8d"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Requirement already satisfied: wheel in /usr/local/lib/python3.10/dist-packages (0.42.0)\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!wget http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz\n",
+ "!tar -xzvf ta-lib-0.4.0-src.tar.gz\n",
+ "%cd ta-lib\n",
+ "!./configure --prefix=/usr\n",
+ "!make\n",
+ "!make install\n",
+ "!pip install Ta-Lib\n",
+ "\n",
+ "import talib as ta"
+ ],
+ "metadata": {
+ "id": "qZTlWcHzx-ac"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install tensorflow"
+ ],
+ "metadata": {
+ "id": "Q34DLoINJgUz"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "!pip install tf_keras"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "2q3Tr0FauljL",
+ "outputId": "a190680b-3b9f-4be5-95ff-9179150ef063"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Requirement already satisfied: tf_keras in /usr/local/lib/python3.10/dist-packages (2.15.0)\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import yfinance"
+ ],
+ "metadata": {
+ "id": "qIijWkmxvA-U"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "8HzHhAcAIXOU"
+ },
+ "outputs": [],
+ "source": [
+ "import yfinance as yf\n",
+ "import tensorflow as tf\n",
+ "import keras\n",
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "from sklearn.preprocessing import MinMaxScaler\n",
+ "from sklearn.metrics import mean_squared_error\n",
+ "from sklearn.model_selection import train_test_split\n",
+ "from tensorflow.keras.models import Sequential\n",
+ "from tensorflow.keras.layers import LSTM, Dense\n",
+ "\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from tensorflow import keras\n",
+ "from keras.layers import Dense\n",
+ "from keras.models import Sequential, load_model"
+ ],
+ "metadata": {
+ "id": "1aWogCKZzsep"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "def fetch_stock_data(symbol, start_date, end_date):\n",
+ " stock_data = yf.download(symbol, start=start_date, end=end_date)\n",
+ " return stock_data"
+ ],
+ "metadata": {
+ "id": "GHlNOcEmIfMm"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "def calculate_technical_indicators(data):\n",
+ " data['SMA_50'] = data['Close'].rolling(window=50).mean()\n",
+ " data['RSI'] = ta.RSI(data['Close'], timeperiod=14)\n",
+ "\n",
+ " return data"
+ ],
+ "metadata": {
+ "id": "6juwzWuPvUmD"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "def create_sequences(data, sequence_length):\n",
+ " sequences = []\n",
+ " for i in range(len(data) - sequence_length):\n",
+ " sequence = data[i:i+sequence_length]\n",
+ " target = data['Close'].iloc[i+sequence_length]\n",
+ " sequences.append((sequence, target))\n",
+ " return sequences"
+ ],
+ "metadata": {
+ "id": "NgCt2YVcvg7F"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "\n",
+ "symbols = [ 'NMDC.BO', 'MOIL.BO', 'VEDL.BO']\n",
+ "start_date = '2019-01-01'\n",
+ "end_date = '2023-01-01'\n",
+ "\n",
+ "\n",
+ "data = pd.DataFrame()\n",
+ "\n",
+ "for symbol in symbols:\n",
+ " stock_data = fetch_stock_data(symbol, start_date, end_date )\n",
+ " data[symbol] = stock_data['Close']"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "WVg35ysPvoSr",
+ "outputId": "dae30fa0-f09b-4447-9f91-3f72a341b66c"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stderr",
+ "text": [
+ "[*********************100%%**********************] 1 of 1 completed\n",
+ "[*********************100%%**********************] 1 of 1 completed\n",
+ "[*********************100%%**********************] 1 of 1 completed\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "\n",
+ "\n",
+ "\n",
+ "data.dropna(inplace=True)\n",
+ "\n",
+ "# Normalize the data\n",
+ "scaler = MinMaxScaler()\n",
+ "data_normalized = scaler.fit_transform(data)\n",
+ "\n",
+ "\n",
+ "\n"
+ ],
+ "metadata": {
+ "id": "mmNWrwLwwi4R"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "def create_sequences(data, sequence_length):\n",
+ " sequences = []\n",
+ " for i in range(len(data) - sequence_length):\n",
+ " sequence = data[i:i+sequence_length]\n",
+ " target = data['Close'].iloc[i+sequence_length] # Corrected this line\n",
+ " sequences.append((sequence, target))\n",
+ " return sequences\n",
+ "\n"
+ ],
+ "metadata": {
+ "id": "qZz6-SA209YU"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "def create_sequences(data, sequence_length):\n",
+ " sequences = []\n",
+ " for i in range(len(data) - sequence_length):\n",
+ " sequence = data[i:i+sequence_length, :-1]\n",
+ " target = data[i+sequence_length, -1]\n",
+ " sequences.append((sequence, target))\n",
+ " return sequences\n",
+ "\n"
+ ],
+ "metadata": {
+ "id": "e3wblLs61h7h"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "sequence_length = 10\n",
+ "sequences = create_sequences(data_normalized, sequence_length)\n",
+ "\n",
+ "\n",
+ "X = np.array([seq[0] for seq in sequences])\n",
+ "y = np.array([seq[1] for seq in sequences])\n",
+ "\n",
+ "\n",
+ "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+ "\n"
+ ],
+ "metadata": {
+ "id": "QTXN-T9p19Y4"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "model = Sequential()\n",
+ "model.add(LSTM(units=50, input_shape=(X_train.shape[1], X_train.shape[2])))\n",
+ "model.add(Dense(units=1))\n",
+ "model.compile(optimizer='adam', loss='mean_squared_error')\n",
+ "\n",
+ "# Train the model\n",
+ "model.fit(X_train, y_train, epochs=50, batch_size=32, validation_data=(X_test, y_test), verbose=2)\n"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "bt3RgEDI20cH",
+ "outputId": "7c3277ff-03a1-445a-ef33-34e2419e93c9"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Epoch 1/50\n",
+ "25/25 - 3s - loss: 0.0651 - val_loss: 0.0282 - 3s/epoch - 134ms/step\n",
+ "Epoch 2/50\n",
+ "25/25 - 0s - loss: 0.0228 - val_loss: 0.0213 - 184ms/epoch - 7ms/step\n",
+ "Epoch 3/50\n",
+ "25/25 - 0s - loss: 0.0201 - val_loss: 0.0197 - 186ms/epoch - 7ms/step\n",
+ "Epoch 4/50\n",
+ "25/25 - 0s - loss: 0.0187 - val_loss: 0.0182 - 183ms/epoch - 7ms/step\n",
+ "Epoch 5/50\n",
+ "25/25 - 0s - loss: 0.0185 - val_loss: 0.0176 - 190ms/epoch - 8ms/step\n",
+ "Epoch 6/50\n",
+ "25/25 - 0s - loss: 0.0179 - val_loss: 0.0171 - 190ms/epoch - 8ms/step\n",
+ "Epoch 7/50\n",
+ "25/25 - 0s - loss: 0.0172 - val_loss: 0.0178 - 311ms/epoch - 12ms/step\n",
+ "Epoch 8/50\n",
+ "25/25 - 0s - loss: 0.0180 - val_loss: 0.0164 - 248ms/epoch - 10ms/step\n",
+ "Epoch 9/50\n",
+ "25/25 - 0s - loss: 0.0170 - val_loss: 0.0163 - 255ms/epoch - 10ms/step\n",
+ "Epoch 10/50\n",
+ "25/25 - 0s - loss: 0.0169 - val_loss: 0.0166 - 298ms/epoch - 12ms/step\n",
+ "Epoch 11/50\n",
+ "25/25 - 0s - loss: 0.0165 - val_loss: 0.0157 - 246ms/epoch - 10ms/step\n",
+ "Epoch 12/50\n",
+ "25/25 - 0s - loss: 0.0162 - val_loss: 0.0154 - 264ms/epoch - 11ms/step\n",
+ "Epoch 13/50\n",
+ "25/25 - 0s - loss: 0.0163 - val_loss: 0.0159 - 297ms/epoch - 12ms/step\n",
+ "Epoch 14/50\n",
+ "25/25 - 0s - loss: 0.0155 - val_loss: 0.0149 - 322ms/epoch - 13ms/step\n",
+ "Epoch 15/50\n",
+ "25/25 - 0s - loss: 0.0150 - val_loss: 0.0146 - 325ms/epoch - 13ms/step\n",
+ "Epoch 16/50\n",
+ "25/25 - 0s - loss: 0.0146 - val_loss: 0.0133 - 236ms/epoch - 9ms/step\n",
+ "Epoch 17/50\n",
+ "25/25 - 0s - loss: 0.0141 - val_loss: 0.0128 - 235ms/epoch - 9ms/step\n",
+ "Epoch 18/50\n",
+ "25/25 - 0s - loss: 0.0135 - val_loss: 0.0126 - 175ms/epoch - 7ms/step\n",
+ "Epoch 19/50\n",
+ "25/25 - 0s - loss: 0.0133 - val_loss: 0.0120 - 178ms/epoch - 7ms/step\n",
+ "Epoch 20/50\n",
+ "25/25 - 0s - loss: 0.0128 - val_loss: 0.0116 - 197ms/epoch - 8ms/step\n",
+ "Epoch 21/50\n",
+ "25/25 - 0s - loss: 0.0125 - val_loss: 0.0111 - 189ms/epoch - 8ms/step\n",
+ "Epoch 22/50\n",
+ "25/25 - 0s - loss: 0.0122 - val_loss: 0.0109 - 186ms/epoch - 7ms/step\n",
+ "Epoch 23/50\n",
+ "25/25 - 0s - loss: 0.0123 - val_loss: 0.0117 - 187ms/epoch - 7ms/step\n",
+ "Epoch 24/50\n",
+ "25/25 - 0s - loss: 0.0122 - val_loss: 0.0113 - 187ms/epoch - 7ms/step\n",
+ "Epoch 25/50\n",
+ "25/25 - 0s - loss: 0.0117 - val_loss: 0.0116 - 186ms/epoch - 7ms/step\n",
+ "Epoch 26/50\n",
+ "25/25 - 0s - loss: 0.0117 - val_loss: 0.0106 - 201ms/epoch - 8ms/step\n",
+ "Epoch 27/50\n",
+ "25/25 - 0s - loss: 0.0114 - val_loss: 0.0110 - 205ms/epoch - 8ms/step\n",
+ "Epoch 28/50\n",
+ "25/25 - 0s - loss: 0.0112 - val_loss: 0.0134 - 183ms/epoch - 7ms/step\n",
+ "Epoch 29/50\n",
+ "25/25 - 0s - loss: 0.0115 - val_loss: 0.0099 - 190ms/epoch - 8ms/step\n",
+ "Epoch 30/50\n",
+ "25/25 - 0s - loss: 0.0107 - val_loss: 0.0102 - 199ms/epoch - 8ms/step\n",
+ "Epoch 31/50\n",
+ "25/25 - 0s - loss: 0.0108 - val_loss: 0.0101 - 205ms/epoch - 8ms/step\n",
+ "Epoch 32/50\n",
+ "25/25 - 0s - loss: 0.0115 - val_loss: 0.0104 - 257ms/epoch - 10ms/step\n",
+ "Epoch 33/50\n",
+ "25/25 - 0s - loss: 0.0108 - val_loss: 0.0098 - 189ms/epoch - 8ms/step\n",
+ "Epoch 34/50\n",
+ "25/25 - 0s - loss: 0.0112 - val_loss: 0.0104 - 170ms/epoch - 7ms/step\n",
+ "Epoch 35/50\n",
+ "25/25 - 0s - loss: 0.0105 - val_loss: 0.0102 - 175ms/epoch - 7ms/step\n",
+ "Epoch 36/50\n",
+ "25/25 - 0s - loss: 0.0104 - val_loss: 0.0098 - 176ms/epoch - 7ms/step\n",
+ "Epoch 37/50\n",
+ "25/25 - 0s - loss: 0.0102 - val_loss: 0.0103 - 188ms/epoch - 8ms/step\n",
+ "Epoch 38/50\n",
+ "25/25 - 0s - loss: 0.0104 - val_loss: 0.0101 - 175ms/epoch - 7ms/step\n",
+ "Epoch 39/50\n",
+ "25/25 - 0s - loss: 0.0101 - val_loss: 0.0095 - 182ms/epoch - 7ms/step\n",
+ "Epoch 40/50\n",
+ "25/25 - 0s - loss: 0.0100 - val_loss: 0.0097 - 200ms/epoch - 8ms/step\n",
+ "Epoch 41/50\n",
+ "25/25 - 0s - loss: 0.0104 - val_loss: 0.0099 - 192ms/epoch - 8ms/step\n",
+ "Epoch 42/50\n",
+ "25/25 - 0s - loss: 0.0100 - val_loss: 0.0094 - 234ms/epoch - 9ms/step\n",
+ "Epoch 43/50\n",
+ "25/25 - 0s - loss: 0.0101 - val_loss: 0.0093 - 193ms/epoch - 8ms/step\n",
+ "Epoch 44/50\n",
+ "25/25 - 0s - loss: 0.0098 - val_loss: 0.0098 - 184ms/epoch - 7ms/step\n",
+ "Epoch 45/50\n",
+ "25/25 - 0s - loss: 0.0097 - val_loss: 0.0096 - 182ms/epoch - 7ms/step\n",
+ "Epoch 46/50\n",
+ "25/25 - 0s - loss: 0.0098 - val_loss: 0.0092 - 182ms/epoch - 7ms/step\n",
+ "Epoch 47/50\n",
+ "25/25 - 0s - loss: 0.0097 - val_loss: 0.0091 - 184ms/epoch - 7ms/step\n",
+ "Epoch 48/50\n",
+ "25/25 - 0s - loss: 0.0096 - val_loss: 0.0097 - 195ms/epoch - 8ms/step\n",
+ "Epoch 49/50\n",
+ "25/25 - 0s - loss: 0.0101 - val_loss: 0.0094 - 174ms/epoch - 7ms/step\n",
+ "Epoch 50/50\n",
+ "25/25 - 0s - loss: 0.0099 - val_loss: 0.0107 - 184ms/epoch - 7ms/step\n"
+ ]
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "execution_count": 87
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "from keras.models import Sequential\n",
+ "from keras.layers import LSTM, Dense, Dropout\n",
+ "from keras.optimizers import Adam\n",
+ "\n",
+ "model = Sequential()\n",
+ "model.add(LSTM(units=128, input_shape=(X_train.shape[1], X_train.shape[2])))\n",
+ "model.add(Dropout(0.2))\n",
+ "model.add(Dense(units=64, activation='relu'))\n",
+ "model.add(Dense(units=1))\n",
+ "\n",
+ "optimizer = Adam(learning_rate=0.001)\n",
+ "model.compile(optimizer=optimizer, loss='mean_squared_error')\n",
+ "\n",
+ "model.fit(X_train, y_train, epochs=100, batch_size=32, validation_data=(X_test, y_test), verbose=2)\n"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "x_1V60YB7bk5",
+ "outputId": "e37e1381-df93-468f-8720-3e22d650bac9"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Epoch 1/100\n",
+ "25/25 - 4s - loss: 0.0484 - val_loss: 0.0214 - 4s/epoch - 163ms/step\n",
+ "Epoch 2/100\n",
+ "25/25 - 0s - loss: 0.0203 - val_loss: 0.0182 - 463ms/epoch - 19ms/step\n",
+ "Epoch 3/100\n",
+ "25/25 - 0s - loss: 0.0195 - val_loss: 0.0173 - 438ms/epoch - 18ms/step\n",
+ "Epoch 4/100\n",
+ "25/25 - 0s - loss: 0.0194 - val_loss: 0.0166 - 438ms/epoch - 18ms/step\n",
+ "Epoch 5/100\n",
+ "25/25 - 0s - loss: 0.0183 - val_loss: 0.0198 - 442ms/epoch - 18ms/step\n",
+ "Epoch 6/100\n",
+ "25/25 - 0s - loss: 0.0188 - val_loss: 0.0169 - 410ms/epoch - 16ms/step\n",
+ "Epoch 7/100\n",
+ "25/25 - 0s - loss: 0.0174 - val_loss: 0.0159 - 460ms/epoch - 18ms/step\n",
+ "Epoch 8/100\n",
+ "25/25 - 1s - loss: 0.0185 - val_loss: 0.0152 - 734ms/epoch - 29ms/step\n",
+ "Epoch 9/100\n",
+ "25/25 - 1s - loss: 0.0164 - val_loss: 0.0138 - 712ms/epoch - 28ms/step\n",
+ "Epoch 10/100\n",
+ "25/25 - 1s - loss: 0.0151 - val_loss: 0.0143 - 718ms/epoch - 29ms/step\n",
+ "Epoch 11/100\n",
+ "25/25 - 1s - loss: 0.0151 - val_loss: 0.0127 - 708ms/epoch - 28ms/step\n",
+ "Epoch 12/100\n",
+ "25/25 - 0s - loss: 0.0131 - val_loss: 0.0154 - 439ms/epoch - 18ms/step\n",
+ "Epoch 13/100\n",
+ "25/25 - 0s - loss: 0.0145 - val_loss: 0.0161 - 451ms/epoch - 18ms/step\n",
+ "Epoch 14/100\n",
+ "25/25 - 0s - loss: 0.0142 - val_loss: 0.0124 - 434ms/epoch - 17ms/step\n",
+ "Epoch 15/100\n",
+ "25/25 - 0s - loss: 0.0136 - val_loss: 0.0119 - 377ms/epoch - 15ms/step\n",
+ "Epoch 16/100\n",
+ "25/25 - 0s - loss: 0.0133 - val_loss: 0.0103 - 404ms/epoch - 16ms/step\n",
+ "Epoch 17/100\n",
+ "25/25 - 0s - loss: 0.0127 - val_loss: 0.0115 - 380ms/epoch - 15ms/step\n",
+ "Epoch 18/100\n",
+ "25/25 - 0s - loss: 0.0117 - val_loss: 0.0099 - 437ms/epoch - 17ms/step\n",
+ "Epoch 19/100\n",
+ "25/25 - 0s - loss: 0.0112 - val_loss: 0.0154 - 382ms/epoch - 15ms/step\n",
+ "Epoch 20/100\n",
+ "25/25 - 0s - loss: 0.0140 - val_loss: 0.0110 - 408ms/epoch - 16ms/step\n",
+ "Epoch 21/100\n",
+ "25/25 - 0s - loss: 0.0130 - val_loss: 0.0109 - 462ms/epoch - 18ms/step\n",
+ "Epoch 22/100\n",
+ "25/25 - 0s - loss: 0.0107 - val_loss: 0.0103 - 461ms/epoch - 18ms/step\n",
+ "Epoch 23/100\n",
+ "25/25 - 0s - loss: 0.0111 - val_loss: 0.0103 - 445ms/epoch - 18ms/step\n",
+ "Epoch 24/100\n",
+ "25/25 - 0s - loss: 0.0125 - val_loss: 0.0108 - 376ms/epoch - 15ms/step\n",
+ "Epoch 25/100\n",
+ "25/25 - 0s - loss: 0.0115 - val_loss: 0.0104 - 359ms/epoch - 14ms/step\n",
+ "Epoch 26/100\n",
+ "25/25 - 0s - loss: 0.0117 - val_loss: 0.0108 - 430ms/epoch - 17ms/step\n",
+ "Epoch 27/100\n",
+ "25/25 - 0s - loss: 0.0126 - val_loss: 0.0112 - 432ms/epoch - 17ms/step\n",
+ "Epoch 28/100\n",
+ "25/25 - 0s - loss: 0.0113 - val_loss: 0.0097 - 404ms/epoch - 16ms/step\n",
+ "Epoch 29/100\n",
+ "25/25 - 0s - loss: 0.0112 - val_loss: 0.0101 - 391ms/epoch - 16ms/step\n",
+ "Epoch 30/100\n",
+ "25/25 - 0s - loss: 0.0108 - val_loss: 0.0111 - 396ms/epoch - 16ms/step\n",
+ "Epoch 31/100\n",
+ "25/25 - 0s - loss: 0.0109 - val_loss: 0.0128 - 378ms/epoch - 15ms/step\n",
+ "Epoch 32/100\n",
+ "25/25 - 0s - loss: 0.0121 - val_loss: 0.0115 - 379ms/epoch - 15ms/step\n",
+ "Epoch 33/100\n",
+ "25/25 - 0s - loss: 0.0111 - val_loss: 0.0096 - 384ms/epoch - 15ms/step\n",
+ "Epoch 34/100\n",
+ "25/25 - 0s - loss: 0.0108 - val_loss: 0.0121 - 396ms/epoch - 16ms/step\n",
+ "Epoch 35/100\n",
+ "25/25 - 0s - loss: 0.0115 - val_loss: 0.0100 - 425ms/epoch - 17ms/step\n",
+ "Epoch 36/100\n",
+ "25/25 - 1s - loss: 0.0114 - val_loss: 0.0095 - 702ms/epoch - 28ms/step\n",
+ "Epoch 37/100\n",
+ "25/25 - 1s - loss: 0.0101 - val_loss: 0.0105 - 715ms/epoch - 29ms/step\n",
+ "Epoch 38/100\n",
+ "25/25 - 1s - loss: 0.0111 - val_loss: 0.0096 - 813ms/epoch - 33ms/step\n",
+ "Epoch 39/100\n",
+ "25/25 - 1s - loss: 0.0103 - val_loss: 0.0115 - 538ms/epoch - 22ms/step\n",
+ "Epoch 40/100\n",
+ "25/25 - 0s - loss: 0.0100 - val_loss: 0.0118 - 381ms/epoch - 15ms/step\n",
+ "Epoch 41/100\n",
+ "25/25 - 0s - loss: 0.0110 - val_loss: 0.0095 - 399ms/epoch - 16ms/step\n",
+ "Epoch 42/100\n",
+ "25/25 - 0s - loss: 0.0103 - val_loss: 0.0095 - 383ms/epoch - 15ms/step\n",
+ "Epoch 43/100\n",
+ "25/25 - 0s - loss: 0.0106 - val_loss: 0.0097 - 393ms/epoch - 16ms/step\n",
+ "Epoch 44/100\n",
+ "25/25 - 0s - loss: 0.0101 - val_loss: 0.0099 - 354ms/epoch - 14ms/step\n",
+ "Epoch 45/100\n",
+ "25/25 - 0s - loss: 0.0101 - val_loss: 0.0095 - 345ms/epoch - 14ms/step\n",
+ "Epoch 46/100\n",
+ "25/25 - 0s - loss: 0.0099 - val_loss: 0.0102 - 377ms/epoch - 15ms/step\n",
+ "Epoch 47/100\n",
+ "25/25 - 0s - loss: 0.0102 - val_loss: 0.0112 - 386ms/epoch - 15ms/step\n",
+ "Epoch 48/100\n",
+ "25/25 - 0s - loss: 0.0109 - val_loss: 0.0093 - 407ms/epoch - 16ms/step\n",
+ "Epoch 49/100\n",
+ "25/25 - 0s - loss: 0.0098 - val_loss: 0.0091 - 370ms/epoch - 15ms/step\n",
+ "Epoch 50/100\n",
+ "25/25 - 0s - loss: 0.0103 - val_loss: 0.0090 - 376ms/epoch - 15ms/step\n",
+ "Epoch 51/100\n",
+ "25/25 - 0s - loss: 0.0104 - val_loss: 0.0097 - 379ms/epoch - 15ms/step\n",
+ "Epoch 52/100\n",
+ "25/25 - 0s - loss: 0.0106 - val_loss: 0.0092 - 380ms/epoch - 15ms/step\n",
+ "Epoch 53/100\n",
+ "25/25 - 0s - loss: 0.0101 - val_loss: 0.0106 - 397ms/epoch - 16ms/step\n",
+ "Epoch 54/100\n",
+ "25/25 - 0s - loss: 0.0104 - val_loss: 0.0122 - 380ms/epoch - 15ms/step\n",
+ "Epoch 55/100\n",
+ "25/25 - 0s - loss: 0.0104 - val_loss: 0.0088 - 342ms/epoch - 14ms/step\n",
+ "Epoch 56/100\n",
+ "25/25 - 0s - loss: 0.0097 - val_loss: 0.0099 - 378ms/epoch - 15ms/step\n",
+ "Epoch 57/100\n",
+ "25/25 - 0s - loss: 0.0110 - val_loss: 0.0101 - 441ms/epoch - 18ms/step\n",
+ "Epoch 58/100\n",
+ "25/25 - 0s - loss: 0.0094 - val_loss: 0.0089 - 419ms/epoch - 17ms/step\n",
+ "Epoch 59/100\n",
+ "25/25 - 0s - loss: 0.0097 - val_loss: 0.0099 - 442ms/epoch - 18ms/step\n",
+ "Epoch 60/100\n",
+ "25/25 - 0s - loss: 0.0111 - val_loss: 0.0107 - 414ms/epoch - 17ms/step\n",
+ "Epoch 61/100\n",
+ "25/25 - 0s - loss: 0.0108 - val_loss: 0.0112 - 410ms/epoch - 16ms/step\n",
+ "Epoch 62/100\n",
+ "25/25 - 0s - loss: 0.0103 - val_loss: 0.0099 - 368ms/epoch - 15ms/step\n",
+ "Epoch 63/100\n",
+ "25/25 - 0s - loss: 0.0093 - val_loss: 0.0086 - 349ms/epoch - 14ms/step\n",
+ "Epoch 64/100\n",
+ "25/25 - 0s - loss: 0.0100 - val_loss: 0.0093 - 382ms/epoch - 15ms/step\n",
+ "Epoch 65/100\n",
+ "25/25 - 1s - loss: 0.0092 - val_loss: 0.0083 - 537ms/epoch - 21ms/step\n",
+ "Epoch 66/100\n",
+ "25/25 - 1s - loss: 0.0097 - val_loss: 0.0099 - 685ms/epoch - 27ms/step\n",
+ "Epoch 67/100\n",
+ "25/25 - 1s - loss: 0.0093 - val_loss: 0.0108 - 684ms/epoch - 27ms/step\n",
+ "Epoch 68/100\n",
+ "25/25 - 1s - loss: 0.0100 - val_loss: 0.0084 - 1s/epoch - 49ms/step\n",
+ "Epoch 69/100\n",
+ "25/25 - 1s - loss: 0.0107 - val_loss: 0.0087 - 1s/epoch - 49ms/step\n",
+ "Epoch 70/100\n",
+ "25/25 - 1s - loss: 0.0103 - val_loss: 0.0096 - 1s/epoch - 42ms/step\n",
+ "Epoch 71/100\n",
+ "25/25 - 1s - loss: 0.0094 - val_loss: 0.0100 - 970ms/epoch - 39ms/step\n",
+ "Epoch 72/100\n",
+ "25/25 - 0s - loss: 0.0091 - val_loss: 0.0082 - 438ms/epoch - 18ms/step\n",
+ "Epoch 73/100\n",
+ "25/25 - 0s - loss: 0.0096 - val_loss: 0.0083 - 367ms/epoch - 15ms/step\n",
+ "Epoch 74/100\n",
+ "25/25 - 0s - loss: 0.0096 - val_loss: 0.0108 - 356ms/epoch - 14ms/step\n",
+ "Epoch 75/100\n",
+ "25/25 - 0s - loss: 0.0096 - val_loss: 0.0100 - 381ms/epoch - 15ms/step\n",
+ "Epoch 76/100\n",
+ "25/25 - 0s - loss: 0.0109 - val_loss: 0.0091 - 397ms/epoch - 16ms/step\n",
+ "Epoch 77/100\n",
+ "25/25 - 0s - loss: 0.0100 - val_loss: 0.0094 - 431ms/epoch - 17ms/step\n",
+ "Epoch 78/100\n",
+ "25/25 - 0s - loss: 0.0091 - val_loss: 0.0087 - 406ms/epoch - 16ms/step\n",
+ "Epoch 79/100\n",
+ "25/25 - 0s - loss: 0.0093 - val_loss: 0.0082 - 410ms/epoch - 16ms/step\n",
+ "Epoch 80/100\n",
+ "25/25 - 0s - loss: 0.0095 - val_loss: 0.0101 - 424ms/epoch - 17ms/step\n",
+ "Epoch 81/100\n",
+ "25/25 - 0s - loss: 0.0097 - val_loss: 0.0093 - 438ms/epoch - 18ms/step\n",
+ "Epoch 82/100\n",
+ "25/25 - 0s - loss: 0.0092 - val_loss: 0.0096 - 430ms/epoch - 17ms/step\n",
+ "Epoch 83/100\n",
+ "25/25 - 0s - loss: 0.0090 - val_loss: 0.0092 - 395ms/epoch - 16ms/step\n",
+ "Epoch 84/100\n",
+ "25/25 - 0s - loss: 0.0091 - val_loss: 0.0083 - 389ms/epoch - 16ms/step\n",
+ "Epoch 85/100\n",
+ "25/25 - 0s - loss: 0.0088 - val_loss: 0.0082 - 416ms/epoch - 17ms/step\n",
+ "Epoch 86/100\n",
+ "25/25 - 0s - loss: 0.0089 - val_loss: 0.0101 - 397ms/epoch - 16ms/step\n",
+ "Epoch 87/100\n",
+ "25/25 - 0s - loss: 0.0102 - val_loss: 0.0083 - 400ms/epoch - 16ms/step\n",
+ "Epoch 88/100\n",
+ "25/25 - 0s - loss: 0.0098 - val_loss: 0.0084 - 401ms/epoch - 16ms/step\n",
+ "Epoch 89/100\n",
+ "25/25 - 0s - loss: 0.0094 - val_loss: 0.0102 - 441ms/epoch - 18ms/step\n",
+ "Epoch 90/100\n",
+ "25/25 - 1s - loss: 0.0090 - val_loss: 0.0107 - 674ms/epoch - 27ms/step\n",
+ "Epoch 91/100\n",
+ "25/25 - 1s - loss: 0.0095 - val_loss: 0.0093 - 711ms/epoch - 28ms/step\n",
+ "Epoch 92/100\n",
+ "25/25 - 1s - loss: 0.0090 - val_loss: 0.0080 - 661ms/epoch - 26ms/step\n",
+ "Epoch 93/100\n",
+ "25/25 - 1s - loss: 0.0090 - val_loss: 0.0079 - 615ms/epoch - 25ms/step\n",
+ "Epoch 94/100\n",
+ "25/25 - 0s - loss: 0.0091 - val_loss: 0.0086 - 365ms/epoch - 15ms/step\n",
+ "Epoch 95/100\n",
+ "25/25 - 0s - loss: 0.0092 - val_loss: 0.0080 - 383ms/epoch - 15ms/step\n",
+ "Epoch 96/100\n",
+ "25/25 - 0s - loss: 0.0097 - val_loss: 0.0094 - 343ms/epoch - 14ms/step\n",
+ "Epoch 97/100\n",
+ "25/25 - 0s - loss: 0.0088 - val_loss: 0.0080 - 364ms/epoch - 15ms/step\n",
+ "Epoch 98/100\n",
+ "25/25 - 0s - loss: 0.0088 - val_loss: 0.0078 - 380ms/epoch - 15ms/step\n",
+ "Epoch 99/100\n",
+ "25/25 - 0s - loss: 0.0091 - val_loss: 0.0102 - 385ms/epoch - 15ms/step\n",
+ "Epoch 100/100\n",
+ "25/25 - 0s - loss: 0.0093 - val_loss: 0.0080 - 351ms/epoch - 14ms/step\n"
+ ]
+ },
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "execution_count": 110
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "\n",
+ "model = Sequential()\n",
+ "\n",
+ "model.compile(optimizer='adam', loss='mean_squared_error')"
+ ],
+ "metadata": {
+ "id": "l8nqN8Zr38DR"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "model = Sequential()\n",
+ "model.add(LSTM(units=50, input_shape=(X_train.shape[1], X_train.shape[2])))\n",
+ "model.add(Dense(units=1))\n",
+ "model.compile(optimizer='adam', loss='mean_squared_error')\n"
+ ],
+ "metadata": {
+ "id": "qdbgzWWn3wNt"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "y_pred = model.predict(X_test)"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "Eya9ZaCI4tpI",
+ "outputId": "c68a10c7-8c27-4905-9ec4-5b18c9293047"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "7/7 [==============================] - 41s 6ms/step\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "if len(y_test.shape) > 1:\n",
+ " num_companies = y_test.shape[1]\n",
+ " y_pred_reshaped = y_pred.reshape(-1, num_companies)\n",
+ "else:\n",
+ " num_companies = 1\n",
+ " y_pred_reshaped = y_pred.reshape(-1, 1)\n",
+ "\n"
+ ],
+ "metadata": {
+ "id": "kDo064Td5CCR"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Assuming y_test is 1D\n",
+ "if len(y_test.shape) == 1:\n",
+ " y_test = y_test.reshape(-1, 1)\n",
+ " y_pred_reshaped = y_pred_reshaped.reshape(-1, 1)\n",
+ "\n",
+ "# Manual inverse transformation\n",
+ "min_y = np.min(y_test, axis=0)\n",
+ "max_y = np.max(y_test, axis=0)\n",
+ "\n",
+ "# Inverse transform the predictions and actual values to the original scale\n",
+ "y_pred_original = y_pred_reshaped * (max_y - min_y) + min_y\n",
+ "y_test_original = y_test * (max_y - min_y) + min_y\n",
+ "\n"
+ ],
+ "metadata": {
+ "id": "YnJSgrmO5TwD"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "mse = mean_squared_error(y_test_original, y_pred_original)\n",
+ "print(f'Mean Squared Error: {mse}')"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "2z6DjgEl6kHN",
+ "outputId": "160b14dd-f30b-4cab-a846-ca9a4f2e31c7"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Mean Squared Error: 0.21417194777934945\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "from keras.models import Sequential\n",
+ "from keras.layers import LSTM, Dense, Dropout\n",
+ "from keras.optimizers import Adam\n",
+ "\n",
+ "\n",
+ "model = Sequential()\n",
+ "model.add(LSTM(units=128, input_shape=(X_train.shape[1], X_train.shape[2])))\n",
+ "model.add(Dropout(0.2))\n",
+ "model.add(Dense(units=64, activation='relu'))\n",
+ "model.add(Dense(units=1))\n",
+ "\n",
+ "optimizer = Adam(learning_rate=0.001)\n",
+ "model.compile(optimizer=optimizer, loss='mean_squared_error')\n",
+ "\n",
+ "# Train the model and record history for visualization\n",
+ "history = model.fit(X_train, y_train, epochs=100, batch_size=32, validation_data=(X_test, y_test), verbose=2)\n",
+ "\n",
+ "# Visualize training loss and validation loss\n",
+ "plt.plot(history.history['loss'], label='Training Loss')\n",
+ "plt.plot(history.history['val_loss'], label='Validation Loss')\n",
+ "plt.title('Training and Validation Loss')\n",
+ "plt.xlabel('Epoch')\n",
+ "plt.ylabel('Mean Squared Error')\n",
+ "plt.legend()\n",
+ "plt.show()\n",
+ "\n",
+ "# Make predictions on the test set\n",
+ "y_pred = model.predict(X_test)\n",
+ "\n",
+ "# Plot predicted vs. actual values\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "plt.plot(y_test, label='Actual Prices', color='blue')\n",
+ "plt.plot(y_pred, label='Predicted Prices', color='red')\n",
+ "plt.title('Actual vs. Predicted Stock Prices')\n",
+ "plt.xlabel('Time')\n",
+ "plt.ylabel('Stock Price')\n",
+ "plt.legend()\n",
+ "plt.show()\n"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000
+ },
+ "id": "wIlfkt_L8Q9x",
+ "outputId": "c1c28937-3926-4686-c047-68fb23d3090c"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Epoch 1/100\n",
+ "25/25 - 6s - loss: 0.0468 - val_loss: 0.0219 - 6s/epoch - 229ms/step\n",
+ "Epoch 2/100\n",
+ "25/25 - 0s - loss: 0.0228 - val_loss: 0.0183 - 403ms/epoch - 16ms/step\n",
+ "Epoch 3/100\n",
+ "25/25 - 0s - loss: 0.0200 - val_loss: 0.0177 - 429ms/epoch - 17ms/step\n",
+ "Epoch 4/100\n",
+ "25/25 - 0s - loss: 0.0192 - val_loss: 0.0167 - 437ms/epoch - 17ms/step\n",
+ "Epoch 5/100\n",
+ "25/25 - 0s - loss: 0.0188 - val_loss: 0.0158 - 457ms/epoch - 18ms/step\n",
+ "Epoch 6/100\n",
+ "25/25 - 0s - loss: 0.0177 - val_loss: 0.0150 - 464ms/epoch - 19ms/step\n",
+ "Epoch 7/100\n",
+ "25/25 - 1s - loss: 0.0177 - val_loss: 0.0137 - 580ms/epoch - 23ms/step\n",
+ "Epoch 8/100\n",
+ "25/25 - 1s - loss: 0.0167 - val_loss: 0.0125 - 793ms/epoch - 32ms/step\n",
+ "Epoch 9/100\n",
+ "25/25 - 1s - loss: 0.0144 - val_loss: 0.0120 - 783ms/epoch - 31ms/step\n",
+ "Epoch 10/100\n",
+ "25/25 - 1s - loss: 0.0135 - val_loss: 0.0136 - 796ms/epoch - 32ms/step\n",
+ "Epoch 11/100\n",
+ "25/25 - 1s - loss: 0.0133 - val_loss: 0.0117 - 621ms/epoch - 25ms/step\n",
+ "Epoch 12/100\n",
+ "25/25 - 0s - loss: 0.0129 - val_loss: 0.0124 - 465ms/epoch - 19ms/step\n",
+ "Epoch 13/100\n",
+ "25/25 - 0s - loss: 0.0129 - val_loss: 0.0172 - 478ms/epoch - 19ms/step\n",
+ "Epoch 14/100\n",
+ "25/25 - 0s - loss: 0.0153 - val_loss: 0.0120 - 451ms/epoch - 18ms/step\n",
+ "Epoch 15/100\n",
+ "25/25 - 0s - loss: 0.0135 - val_loss: 0.0100 - 488ms/epoch - 20ms/step\n",
+ "Epoch 16/100\n",
+ "25/25 - 0s - loss: 0.0128 - val_loss: 0.0121 - 409ms/epoch - 16ms/step\n",
+ "Epoch 17/100\n",
+ "25/25 - 0s - loss: 0.0122 - val_loss: 0.0104 - 385ms/epoch - 15ms/step\n",
+ "Epoch 18/100\n",
+ "25/25 - 0s - loss: 0.0115 - val_loss: 0.0117 - 364ms/epoch - 15ms/step\n",
+ "Epoch 19/100\n",
+ "25/25 - 0s - loss: 0.0110 - val_loss: 0.0100 - 392ms/epoch - 16ms/step\n",
+ "Epoch 20/100\n",
+ "25/25 - 0s - loss: 0.0105 - val_loss: 0.0113 - 377ms/epoch - 15ms/step\n",
+ "Epoch 21/100\n",
+ "25/25 - 0s - loss: 0.0116 - val_loss: 0.0130 - 399ms/epoch - 16ms/step\n",
+ "Epoch 22/100\n",
+ "25/25 - 0s - loss: 0.0121 - val_loss: 0.0100 - 391ms/epoch - 16ms/step\n",
+ "Epoch 23/100\n",
+ "25/25 - 0s - loss: 0.0120 - val_loss: 0.0097 - 371ms/epoch - 15ms/step\n",
+ "Epoch 24/100\n",
+ "25/25 - 0s - loss: 0.0109 - val_loss: 0.0095 - 364ms/epoch - 15ms/step\n",
+ "Epoch 25/100\n",
+ "25/25 - 0s - loss: 0.0106 - val_loss: 0.0098 - 398ms/epoch - 16ms/step\n",
+ "Epoch 26/100\n",
+ "25/25 - 0s - loss: 0.0100 - val_loss: 0.0103 - 410ms/epoch - 16ms/step\n",
+ "Epoch 27/100\n",
+ "25/25 - 1s - loss: 0.0115 - val_loss: 0.0113 - 575ms/epoch - 23ms/step\n",
+ "Epoch 28/100\n",
+ "25/25 - 1s - loss: 0.0121 - val_loss: 0.0120 - 1s/epoch - 41ms/step\n",
+ "Epoch 29/100\n",
+ "25/25 - 1s - loss: 0.0110 - val_loss: 0.0095 - 1s/epoch - 46ms/step\n",
+ "Epoch 30/100\n",
+ "25/25 - 2s - loss: 0.0115 - val_loss: 0.0114 - 2s/epoch - 65ms/step\n",
+ "Epoch 31/100\n",
+ "25/25 - 2s - loss: 0.0115 - val_loss: 0.0095 - 2s/epoch - 63ms/step\n",
+ "Epoch 32/100\n",
+ "25/25 - 1s - loss: 0.0102 - val_loss: 0.0142 - 1s/epoch - 47ms/step\n",
+ "Epoch 33/100\n",
+ "25/25 - 1s - loss: 0.0108 - val_loss: 0.0103 - 762ms/epoch - 30ms/step\n",
+ "Epoch 34/100\n",
+ "25/25 - 0s - loss: 0.0106 - val_loss: 0.0099 - 454ms/epoch - 18ms/step\n",
+ "Epoch 35/100\n",
+ "25/25 - 0s - loss: 0.0107 - val_loss: 0.0091 - 418ms/epoch - 17ms/step\n",
+ "Epoch 36/100\n",
+ "25/25 - 0s - loss: 0.0115 - val_loss: 0.0094 - 453ms/epoch - 18ms/step\n",
+ "Epoch 37/100\n",
+ "25/25 - 0s - loss: 0.0118 - val_loss: 0.0096 - 425ms/epoch - 17ms/step\n",
+ "Epoch 38/100\n",
+ "25/25 - 0s - loss: 0.0110 - val_loss: 0.0105 - 425ms/epoch - 17ms/step\n",
+ "Epoch 39/100\n",
+ "25/25 - 0s - loss: 0.0099 - val_loss: 0.0097 - 461ms/epoch - 18ms/step\n",
+ "Epoch 40/100\n",
+ "25/25 - 0s - loss: 0.0098 - val_loss: 0.0109 - 437ms/epoch - 17ms/step\n",
+ "Epoch 41/100\n",
+ "25/25 - 1s - loss: 0.0101 - val_loss: 0.0092 - 500ms/epoch - 20ms/step\n",
+ "Epoch 42/100\n",
+ "25/25 - 0s - loss: 0.0103 - val_loss: 0.0094 - 446ms/epoch - 18ms/step\n",
+ "Epoch 43/100\n",
+ "25/25 - 0s - loss: 0.0106 - val_loss: 0.0122 - 386ms/epoch - 15ms/step\n",
+ "Epoch 44/100\n",
+ "25/25 - 0s - loss: 0.0105 - val_loss: 0.0106 - 361ms/epoch - 14ms/step\n",
+ "Epoch 45/100\n",
+ "25/25 - 0s - loss: 0.0112 - val_loss: 0.0108 - 363ms/epoch - 15ms/step\n",
+ "Epoch 46/100\n",
+ "25/25 - 0s - loss: 0.0113 - val_loss: 0.0088 - 441ms/epoch - 18ms/step\n",
+ "Epoch 47/100\n",
+ "25/25 - 0s - loss: 0.0106 - val_loss: 0.0110 - 384ms/epoch - 15ms/step\n",
+ "Epoch 48/100\n",
+ "25/25 - 0s - loss: 0.0098 - val_loss: 0.0088 - 435ms/epoch - 17ms/step\n",
+ "Epoch 49/100\n",
+ "25/25 - 0s - loss: 0.0104 - val_loss: 0.0108 - 408ms/epoch - 16ms/step\n",
+ "Epoch 50/100\n",
+ "25/25 - 0s - loss: 0.0106 - val_loss: 0.0101 - 395ms/epoch - 16ms/step\n",
+ "Epoch 51/100\n",
+ "25/25 - 0s - loss: 0.0103 - val_loss: 0.0090 - 402ms/epoch - 16ms/step\n",
+ "Epoch 52/100\n",
+ "25/25 - 0s - loss: 0.0101 - val_loss: 0.0090 - 417ms/epoch - 17ms/step\n",
+ "Epoch 53/100\n",
+ "25/25 - 0s - loss: 0.0102 - val_loss: 0.0106 - 431ms/epoch - 17ms/step\n",
+ "Epoch 54/100\n",
+ "25/25 - 0s - loss: 0.0098 - val_loss: 0.0094 - 390ms/epoch - 16ms/step\n",
+ "Epoch 55/100\n",
+ "25/25 - 0s - loss: 0.0103 - val_loss: 0.0097 - 394ms/epoch - 16ms/step\n",
+ "Epoch 56/100\n",
+ "25/25 - 0s - loss: 0.0099 - val_loss: 0.0135 - 414ms/epoch - 17ms/step\n",
+ "Epoch 57/100\n",
+ "25/25 - 1s - loss: 0.0102 - val_loss: 0.0096 - 604ms/epoch - 24ms/step\n",
+ "Epoch 58/100\n",
+ "25/25 - 1s - loss: 0.0093 - val_loss: 0.0092 - 682ms/epoch - 27ms/step\n",
+ "Epoch 59/100\n",
+ "25/25 - 1s - loss: 0.0092 - val_loss: 0.0092 - 704ms/epoch - 28ms/step\n",
+ "Epoch 60/100\n",
+ "25/25 - 1s - loss: 0.0102 - val_loss: 0.0106 - 749ms/epoch - 30ms/step\n",
+ "Epoch 61/100\n",
+ "25/25 - 1s - loss: 0.0092 - val_loss: 0.0088 - 692ms/epoch - 28ms/step\n",
+ "Epoch 62/100\n",
+ "25/25 - 0s - loss: 0.0092 - val_loss: 0.0086 - 470ms/epoch - 19ms/step\n",
+ "Epoch 63/100\n",
+ "25/25 - 0s - loss: 0.0097 - val_loss: 0.0103 - 458ms/epoch - 18ms/step\n",
+ "Epoch 64/100\n",
+ "25/25 - 0s - loss: 0.0115 - val_loss: 0.0097 - 457ms/epoch - 18ms/step\n",
+ "Epoch 65/100\n",
+ "25/25 - 0s - loss: 0.0097 - val_loss: 0.0087 - 484ms/epoch - 19ms/step\n",
+ "Epoch 66/100\n",
+ "25/25 - 0s - loss: 0.0101 - val_loss: 0.0098 - 494ms/epoch - 20ms/step\n",
+ "Epoch 67/100\n",
+ "25/25 - 0s - loss: 0.0101 - val_loss: 0.0087 - 468ms/epoch - 19ms/step\n",
+ "Epoch 68/100\n",
+ "25/25 - 0s - loss: 0.0097 - val_loss: 0.0085 - 426ms/epoch - 17ms/step\n",
+ "Epoch 69/100\n",
+ "25/25 - 0s - loss: 0.0111 - val_loss: 0.0097 - 453ms/epoch - 18ms/step\n",
+ "Epoch 70/100\n",
+ "25/25 - 0s - loss: 0.0094 - val_loss: 0.0083 - 417ms/epoch - 17ms/step\n",
+ "Epoch 71/100\n",
+ "25/25 - 0s - loss: 0.0093 - val_loss: 0.0089 - 395ms/epoch - 16ms/step\n",
+ "Epoch 72/100\n",
+ "25/25 - 0s - loss: 0.0097 - val_loss: 0.0085 - 355ms/epoch - 14ms/step\n",
+ "Epoch 73/100\n",
+ "25/25 - 0s - loss: 0.0093 - val_loss: 0.0085 - 395ms/epoch - 16ms/step\n",
+ "Epoch 74/100\n",
+ "25/25 - 0s - loss: 0.0098 - val_loss: 0.0091 - 407ms/epoch - 16ms/step\n",
+ "Epoch 75/100\n",
+ "25/25 - 0s - loss: 0.0096 - val_loss: 0.0101 - 417ms/epoch - 17ms/step\n",
+ "Epoch 76/100\n",
+ "25/25 - 0s - loss: 0.0092 - val_loss: 0.0087 - 362ms/epoch - 14ms/step\n",
+ "Epoch 77/100\n",
+ "25/25 - 0s - loss: 0.0098 - val_loss: 0.0119 - 387ms/epoch - 15ms/step\n",
+ "Epoch 78/100\n",
+ "25/25 - 0s - loss: 0.0099 - val_loss: 0.0083 - 399ms/epoch - 16ms/step\n",
+ "Epoch 79/100\n",
+ "25/25 - 0s - loss: 0.0089 - val_loss: 0.0112 - 362ms/epoch - 14ms/step\n",
+ "Epoch 80/100\n",
+ "25/25 - 0s - loss: 0.0090 - val_loss: 0.0086 - 378ms/epoch - 15ms/step\n",
+ "Epoch 81/100\n",
+ "25/25 - 0s - loss: 0.0091 - val_loss: 0.0082 - 349ms/epoch - 14ms/step\n",
+ "Epoch 82/100\n",
+ "25/25 - 0s - loss: 0.0095 - val_loss: 0.0089 - 368ms/epoch - 15ms/step\n",
+ "Epoch 83/100\n",
+ "25/25 - 0s - loss: 0.0092 - val_loss: 0.0090 - 399ms/epoch - 16ms/step\n",
+ "Epoch 84/100\n",
+ "25/25 - 0s - loss: 0.0096 - val_loss: 0.0081 - 417ms/epoch - 17ms/step\n",
+ "Epoch 85/100\n",
+ "25/25 - 1s - loss: 0.0090 - val_loss: 0.0098 - 619ms/epoch - 25ms/step\n",
+ "Epoch 86/100\n",
+ "25/25 - 1s - loss: 0.0095 - val_loss: 0.0088 - 764ms/epoch - 31ms/step\n",
+ "Epoch 87/100\n",
+ "25/25 - 1s - loss: 0.0094 - val_loss: 0.0119 - 800ms/epoch - 32ms/step\n",
+ "Epoch 88/100\n",
+ "25/25 - 1s - loss: 0.0093 - val_loss: 0.0082 - 730ms/epoch - 29ms/step\n",
+ "Epoch 89/100\n",
+ "25/25 - 0s - loss: 0.0098 - val_loss: 0.0117 - 468ms/epoch - 19ms/step\n",
+ "Epoch 90/100\n",
+ "25/25 - 0s - loss: 0.0104 - val_loss: 0.0099 - 416ms/epoch - 17ms/step\n",
+ "Epoch 91/100\n",
+ "25/25 - 0s - loss: 0.0087 - val_loss: 0.0092 - 387ms/epoch - 15ms/step\n",
+ "Epoch 92/100\n",
+ "25/25 - 0s - loss: 0.0090 - val_loss: 0.0095 - 392ms/epoch - 16ms/step\n",
+ "Epoch 93/100\n",
+ "25/25 - 0s - loss: 0.0089 - val_loss: 0.0093 - 342ms/epoch - 14ms/step\n",
+ "Epoch 94/100\n",
+ "25/25 - 0s - loss: 0.0095 - val_loss: 0.0098 - 345ms/epoch - 14ms/step\n",
+ "Epoch 95/100\n",
+ "25/25 - 0s - loss: 0.0089 - val_loss: 0.0097 - 397ms/epoch - 16ms/step\n",
+ "Epoch 96/100\n",
+ "25/25 - 0s - loss: 0.0094 - val_loss: 0.0088 - 373ms/epoch - 15ms/step\n",
+ "Epoch 97/100\n",
+ "25/25 - 0s - loss: 0.0093 - val_loss: 0.0090 - 413ms/epoch - 17ms/step\n",
+ "Epoch 98/100\n",
+ "25/25 - 0s - loss: 0.0091 - val_loss: 0.0087 - 395ms/epoch - 16ms/step\n",
+ "Epoch 99/100\n",
+ "25/25 - 0s - loss: 0.0088 - val_loss: 0.0082 - 400ms/epoch - 16ms/step\n",
+ "Epoch 100/100\n",
+ "25/25 - 0s - loss: 0.0092 - val_loss: 0.0107 - 415ms/epoch - 17ms/step\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "7/7 [==============================] - 0s 6ms/step\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Print the column names of your DataFrame\n",
+ "print(stock_data.columns)\n",
+ "\n",
+ "# Replace 'Date' with the correct column name in the code\n"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "4nD1D0CEBiCS",
+ "outputId": "f9e48d99-1398-45ea-b717-03f58a2f47b8"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Index(['Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume'], dtype='object')\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "# Visualize training loss and validation loss\n",
+ "plt.plot(history.history['loss'], label='Training Loss')\n",
+ "plt.plot(history.history['val_loss'], label='Validation Loss')\n",
+ "plt.title('Training and Validation Loss')\n",
+ "plt.xlabel('Epoch')\n",
+ "plt.ylabel('Mean Squared Error')\n",
+ "plt.legend()\n",
+ "plt.show()\n",
+ "\n",
+ "# Make predictions on the test set\n",
+ "y_pred = model.predict(X_test)\n",
+ "\n",
+ "# Plot predicted vs actual values\n",
+ "plt.figure(figsize=(10, 6))\n",
+ "plt.plot(y_test, label='Actual Prices', color='blue')\n",
+ "plt.plot(y_pred, label='Predicted Prices', color='red')\n",
+ "plt.title('Actual vs. Predicted Stock Prices')\n",
+ "plt.xlabel('Time')\n",
+ "plt.ylabel('Stock Price')\n",
+ "plt.legend()\n",
+ "plt.show()"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 1000
+ },
+ "id": "GhzX4rII9VWQ",
+ "outputId": "22e1c900-429c-4238-af9d-868c5e3d085d"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ },
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "7/7 [==============================] - 0s 9ms/step\n"
+ ]
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "\n",
+ "# Assuming you have a date range and actual/predicted prices\n",
+ "date_range = pd.date_range(start='2024-01-01', end='2024-01-10', freq='D')\n",
+ "actual_prices = np.random.rand(len(date_range)) * 100\n",
+ "predicted_prices = actual_prices + np.random.randn(len(date_range)) * 10\n",
+ "\n",
+ "# Create DataFrame\n",
+ "df_visualization = pd.DataFrame({'Date': date_range, 'Actual Price': actual_prices, 'Predicted Price': predicted_prices})\n",
+ "\n"
+ ],
+ "metadata": {
+ "id": "eakRvy9qCthZ"
+ },
+ "execution_count": null,
+ "outputs": []
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "fig.add_trace(go.Scatter(x=df_visualization['Date'], y=df_visualization['Actual Price'], mode='lines+markers', name='Actual Prices', marker=dict(color='blue')))\n",
+ "fig.add_trace(go.Scatter(x=df_visualization['Date'], y=df_visualization['Predicted Price'], mode='lines+markers', name='Predicted Prices', marker=dict(color='red')))\n"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 542
+ },
+ "id": "gvF8OwRaC_tv",
+ "outputId": "f92cdb02-b2d0-4185-99c3-a012e824e3cb"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "\n",
+ " \n",
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {}
+ }
+ ]
+ },
+ {
+ "cell_type": "code",
+ "source": [
+ "import seaborn as sns\n",
+ "\n",
+ "# Combine actual and predicted prices into a single DataFrame\n",
+ "df_combined = pd.concat([df_visualization['Actual Price'], df_visualization['Predicted Price']], axis=1)\n",
+ "df_combined.columns = ['Actual Price', 'Predicted Price']\n",
+ "\n",
+ "# Create a line plot with shaded confidence intervals\n",
+ "plt.figure(figsize=(12, 6))\n",
+ "sns.lineplot(data=df_combined)\n",
+ "plt.title('Actual vs Predicted Stock Prices')\n",
+ "plt.xlabel('Date')\n",
+ "plt.ylabel('Stock Price')\n",
+ "plt.xticks(rotation=45)\n",
+ "plt.tight_layout()\n",
+ "plt.show()\n"
+ ],
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 607
+ },
+ "id": "AQQ4-zHhDH1K",
+ "outputId": "77e2b193-accd-4d6f-936f-7dc54de25e4d"
+ },
+ "execution_count": null,
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "text/plain": [
+ ""
+ ],
+ "image/png": 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\n"
+ },
+ "metadata": {}
+ }
+ ]
+ }
+ ]
+}
\ No newline at end of file