Jupyter Notebooks
The repository contains notebooks demonstrating EDA or modeling options for various datasets.
This notebook looks at the US presidential elections across 3 years (2008, 2012, 2016). It attempts some EDA on the data and makes prediction of the 2016 outcome.
This notebook contains a few modeling options to dissect MNIST (SVM, KNN, Logistic Regression, and XGBoost)
This notebook works with dataset released by Yelp on Kaggle.com as well as via their Fusion API to attempt building a recommender system using collaborative filtering - matrix factorization.
This notebook is about performing exploratory analysis (with some geographical data manipulation) as well as a time series analysis