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.

[Template] To Create MCPStack MCP Tools in ~5 command lines!

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.

Laptop Cost Evaluator A fast, user-friendly web tool that predicts the market price of a laptop based on key specs like brand, processor, RAM, and storage. Just enter the details on a sleek, single-page form, and get an instant price estimate thanks to a smart backend powered by machine learning.

Unsupervised anomaly detection on 3-year multivariate sensor data from a cyclone preheater using Python. Detected 437 abnormal timestamps using Isolation Forest, One-Class SVM, and Z-score filtering. Includes visual timeline, anomaly impact summary, and Excel highlights.

An interactive HR-analytics app predicting employee churn via scikit-learn pipelines and Streamlit

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