LAMA - automatic model creation framework

Python package for stacking (machine learning technique)

Ensemble learning related books, papers, videos, and toolboxes

Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.

It is From Analytics Vidhya Hackathons, Sponsored by Club Mahindra. It is based on Regression Problem, Where Accuracy matters the most, It is measured by RMSE Score. Different Techniques such as Stacking, Ensembling, Boosting and Scientific Operations such box-cox Operations to reduce skewness of the data.

Decision Trees, Ensembling, Adaboost and Random Forest on Bitcoin Heist Ransomware Address Dataset

An named-entity-recognition (NER) based anonymizer for archival documents metadata.

37th place solution for the 2020-2021 Kaggle competition "Rock, Paper, Scissors"

: Visualization & Prediction

Analysis of Insurance Liability Claim Amount for settlement

Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else's likeness. We make a model which is efficient in detecting one.

This is 35th place solution to shell ai hackathon hosted on HackerEarth platform.

An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.

Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

Templated boilerplate for experiments in Active and Ensemble Learning.

Ensemble methods for improving extractive summarization of legal case judgements

This repo consists of notebooks I created to work upon the skills I learnt through several courses. All notebook has EDA, Model Building, Hyperparameter Tuning, Ensemble Models and Sampling Techniques.

Competition was Classify This Movie by Genre Prediction of Movies based on their Poster

C++ OpenMP and CUDA implementation of parallel ensembling of global stiffness matrix.