Regression Machine Learning Project

Regression

This repository contains the notebook used for the Spring 2021 Kaggle Dengue Fever Prediction Competition. Placement was in the top 10% with a MAE of 24.86. Our best approach involved Random Forest Regression on a reduced featureset selected with Recursive Feature Elimination in combination with correlation with the target (number of dengue cases).

This project is a decision support tool that forecasts shipping profitability and identifies optimization opportunities for a US national candy distributor.

The goal of this assignment is to gain practical experience of performing regression on a small but realistic dataset, using a machine learning package.

House price prediction and exploratory data analysis and trained and validated models using SVM, RANDOMFORESTREGRESSION & LINEAR REGRESSION

Building models to predict house prices for Pune, India, trained on 200 data points using multiple regression techniques