Welcome to Python for Machine Learning, a beginner-friendly repository designed to help you grasp the Python fundamentals essential for data science and machine learning.
📘 Perfect for students, aspiring data scientists, and developers who want to strengthen their Python skills for ML workflows.
This repository includes hands-on notebooks and code samples on:
- 🔹 Python Basics (Variables, Data Types, Loops, Conditions)
- 🔹 Functions and Lambda Expressions
- 🔹 Object-Oriented Programming (OOP)
- 🔹 NumPy for Numerical Computation
- 🔹 Pandas for Data Manipulation
- 🔹 Data Visualization using Matplotlib & Seaborn
- 🔹 Exploratory Data Analysis (EDA)
- 🔹 Introduction to Scikit-Learn
- 🔹 Real-world Dataset Examples (CSV Handling, Cleaning)
- Python 3.x
- Jupyter Notebook
- NumPy
- Pandas
- Matplotlib
- Seaborn
- Scikit-Learn
📦 Python\_For\_Machine\_Learning
├── 01\_Python\_Basics.ipynb
├── 02\_Numpy\_Tutorial.ipynb
├── 03\_Pandas\_Tutorial.ipynb
├── 04\_Data\_Visualization.ipynb
├── 05\_EDA\_on\_Dataset.ipynb
├── 06\_Scikit\_Learn\_Intro.ipynb
├── sample\_dataset.csv
└── README.md
- Clone the Repository
git clone https://github.com/udityamerit/Python_For_Machine_Learning.git
cd Python_For_Machine_Learning- Install Dependencies
pip install -r requirements.txt- Open Notebooks
jupyter notebook- 📈 Bar Charts and Histograms for Visualization
- 📋 Cleaned and Structured DataFrames
- 🔍 EDA insights and correlation heatmaps
- ✅ Simple ML predictions using Scikit-Learn
- Beginners in Python & ML
- Students working on machine learning projects
- Anyone looking to understand Python for data workflows
Uditya Narayan Tiwari 🎓 B.Tech CSE (AI & ML) | VIT Bhopal 🌐 Portfolio Website 💼 LinkedIn 💻 GitHub
This repository is licensed under the MIT License.
If you found this helpful, don't forget to ⭐ the repo and share it with your peers!