CS 6140: Machine Learning Assignments

Linear regression, ridge, lasso

This is a machine learning lecture project about regress the data with the best regression model

Machine Learning Codes in R & Python

This is my college practice work, where i try to learn and cover all the regression algorithms (preferably in python)

If you liked my analysis, pls upvote my notebook!

The goal of this project is to predict the prices of diamonds based on many features using a regression model.

Sétimo mini projeto de data science em que pude usar diversos modelos de regressão para prever o preço das casas a partir de um conjunto diversificado de features

Weather forecast for Tours with R

Various analyzes of big data sets including machine learning, lasso/ridge regression and trees.

Metis project 2/7

Predicting Edmonton House Prices using LASSO, Ridge, Random Forests, and XGBoost.

Effect of Regularization of L1 and L2 on Linear Regression with Alpha value selection using GridSearchCV

House Price Analysis and Sales Price Prediction

This project aims to develop a machine learning model to predict bike-sharing demand based on various factors such as weather conditions, time of day, and historical usage patterns. The dataset used for this project consists of 8760 records and 14 attributes.

Bangalore House Price Predictor: A web app using Flask and scikit-learn to predict house prices in Bangalore based on location, area, bedrooms, and bathrooms.

Machine Learning projects

We will design a predictive model to predict the full-load power output of the Combined Cycle Power Plant Dataset from UCI ML repository and evaluate the performance of the model.

Predicting Insurance Cost