A collection of pandas & scikit-learn compatible transformers for preprocessing and feature engineering 🛠

Optimizing an ML Pipeline in Azure - A Machine Learning Engineer Project

Data Science case for windmill power prediction based on weather. Based on Data Challenge of Air Liquide (@AirLiquide) and TotalEnergies(@total-sa, @Total-RD) companies in 2021. Real Data Science model was much more complicated to get 6 place. The link of the competition - https://datascience.total.com/fr/challenge/19/details#.

Scikit-Learn useful pre-defined Pipelines Hub

Programming assignments covering fundamentals of machine learning and deep learning. These were completed as part of the Plaksha Tech Leaders Fellowship program.

Analysis on effect of temperature, rainfall and pesticide on Global food crops yield along with Crop Yield prediction using scikit-learn ML algorithms. Interactive website for outcomes using HTML, Bootstrap, JS, CSS, d3 and so on.

Build custom vacab, Ham /Spam using tfidf , Movie review classification using TFIDF

Code repository for "MyeVAE: A multi-omics variational autoencoder for predicting mortality in newly diagnosed myeloma patients"

This Repo contains the Mini-Projects I've made while self-learning Data Science.

Multi-omics integration for the classification of functional high risk patients in multiple myeloma.

Student dropout predictions based on grades and other info. Classification problem with MLPClassifier.

A Machinehack ML challenge

A linear regression model using scikit and pandas for the prediction of the atomic ionization energy, with a rmse of 106 KJ/mol

Binary classification from a dataset with imbalanced target feature classes