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

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

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

Templated boilerplate for experiments in Active and Ensemble Learning.

Ensemble methods for improving extractive summarization of legal case judgements

Metis project 4/7

Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

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

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.

LAMA - automatic model creation framework

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.

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

Python package for stacking (machine learning technique)

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

An ensemble is based on the notion of combining models. While uplift modeling combines supervised modeling with A-B testing, which is a simple type of randomized experiment.

: Visualization & Prediction

Ensemble learning related books, papers, videos, and toolboxes

Analysis of Insurance Liability Claim Amount for settlement