1.Predicting House Prices : With 79 explanatory variables describing (almost) every aspect of residential homes to predict the final price of each house using Random Forest Regression.150 decision trees gives the best result. The files containing the code :

  a) Machine-Learning-Projects/PredictingHousePrices_train.py - Only on train.csv.

  b) Machine-Learning-Projects/concat2.py - Trained on train.csv and tested on test.csv.

2.From Scratch : Linear Regression and Logistic Regression Algorithm from scratch using libraries like pandas, numpy, matplotlib in python following the Andrew N.G youtube classes.