Machine learning to predict future number Covid19 Daily Cases (7-day moving average). Long Short Term Memory (LSTM) Predictor and Reinforcement Learning (RL) Prescription with Oxford Dataset

This project implements an end-to-end machine learning pipeline to predict house prices based on property characteristics such as size, location, condition, and nearby amenities. The goal is to build a reliable regression model that can estimate house prices and identify the most influential factors affecting property value.

Machine Learning Regression Model to Predict Energy Efficiency of Buildings