Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.

This is the solution to a kaggle competition done as Data Science Course-Project exploring and applying various Data Science techniques whose code, final report is provided in repo. The kaggle submission link is attached here.

Wide-Resnet-Ensemble implementation for CIFAR100 kaggle submission: >83.97% on kaggle private leaderboard