My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]

Multiple Model Ensembling

Create an arbitrary graph of models and meta-models to form an ensemble. This can be viewed as a generalisation of stacking ensembles.

Classify outcomes of dogs and cats in Austin animal shelter

TSML (Time Series Machine Learning Package) is package for Time Series data processing and prediction. It combines ML libraries from Python's ScikitLearn, R's Caret, and Julia using a common API and allows seamless ensembling and integration of heterogenous ML libraries to create complex models for robust time-series prediction.

Stacking Classifier with parallel computing architecture based on Message Passing Interface.

In this project I did exploratory data and geopolitical analysis to come up with a machine learning model which uses multilevel model stacking to predict the fare based on pickup points and drop off points.

Some useful scripts for data processing and machine learning with python.