In this project, I applied different regression models for rmse and mae on antenna dataset for predict signal strength.

This repository will work around solving the problem of food demand forecasting using machine learning.

Welcome to the Machine Learning Algorithms Implementation repository! This repository focuses on practical implementations of various regression algorithms using Python

Airline Fare Prediction using Regression

My graduation project on freezing casting data. Forecasting porosity with AI,

Построение различных моделей линейной регрессии для предсказания курса доллара

Machine Learning Playground

A powerful stacked ensemble model for income prediction, combining GradientBoosting, AdaBoost, Bagging, Linear Regression, and Decision Trees. Achieves an impressive R² of 0.8761 on the RoS_sample_submission dataset.

Evaluating the performance and predictive power of a model. Cross questioned several concepts of ML for better understanding.

This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.

Predicting the bike count required at each hour for the stable supply of rental bikes.

Code templates for data prep and different ML algorithms in Python.

Data Science Project (Regression for Numeric Data)

In this project, I have developed a Machine Learning model to predict whether users will click on ads. By analyzing various characteristics of users who click on ads, we can gain valuable insights and optimize ad campaigns for better engagement.

Comprehensive exploration of decision tree regressors, including data cleaning, model building, and performance evaluation on various datasets.

Predicting diamond prices helps buyers and sellers make informed decisions by understanding market trends and potential future values.

The positive symptoms typical of schizophrenia – such as delusions, hallucinations or formal thought disorders – often first appear in an attenuated or transient form during the initial prodromal phase

In this exploratory data analysis, we compare a dataset which consists of various features about renting of houses available on these renting platforms listed by owners of these houses, and try to derive some constructive conclusions by performing Descriptive statistics of the available features.

Analytics Vidhya hosts "JOB-A-THON" where over 7000+ enthusiasts got the opportunity to showcase their skills.