A collection of practical machine learning projects and notebooks covering key topics like regression, classification, clustering and feature engineering.More projects and tutorials will be added regularly to help you learn and apply ML techniques.

Warehouse Storage Optimization

Machine learning model to understand the relationship between Stock Percent Change and Financial Key Metrics over time and predict stock price movement based on growth of the financial metrics

This repo contains analysis of Lending Club Credit rates and also case study for a client to get a fully funded loan at the lowest credit rate with a desired duration.

This project harnesses the power of cutting-edge technologies including H2O AutoML, MLflow, FastAPI, and Streamlit to enhance cross-selling campaigns and boost efficiency.

Estudo sobre modelos de Machine Learning para precificação de imóveis

This project explores how AutoML simplifies machine learning workflows by automating model selection, hyperparameter tuning, and evaluation, comparing tools like TPOT, H2O, and AutoKeras, and culminating in a custom-built AutoML system from scratch.

A flask app to predict customer churn for a subscription service business