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

Multiple Model Ensembling

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.

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

This project enables rusty-blockparser user to manufacture the csv files into a ML dataset.

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

Assignments made for the Machine Learning Course held at Ain Shams University [2021-2022]

Example of ensembled collection of "expert" learners fed into an encoder mlp for final action output

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.

Stacking ensemble model for real-time drowsiness detection