Performance of various open source GBM implementations

AI-Mail-Classifier for Techfest IITB competition

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

Gradient Boosted Trees Mega Benchmark

Heart disease risk prediction with LightGBM

Explainable AI for Healthcare

Implementing all ML models and feature selection techniques that can be used.

A complaint forum to be used by the public and the authorities to bridge the communication gap between them.

A detailed spatiotemporal study, geospatial visualizations, and predictive modeling to offer insights into the agricultural sector's dynamics.

A comprehensive MLOps project demonstrating the full machine learning lifecycle for flight price prediction ✈️. This repository covers data validation with Great Expectations, pipeline orchestration with DVC 🔗, experiment tracking with MLflow 📊, and automated CI/CD with GitHub Actions ⚙️ for deploying a FastAPI server with Google Cloud Run.

Prediction using HistGBM and LightGBM

Kaggle's: Machine Learning from Otto Group Product Classification Challenge. Demonstrates basic machine learning, analysis, and visualization techniques.

The telecom operator Interconnect would like to forecast churn of their clients. To ensure loyalty, those who are predicted to leave will be offered promotional codes and special plans.

Um projeto “end-to-end” de Machine Learning em dados do Airbnb.

We build a model to predict the value of used cars, while also considering speed and quality of the prediction.

Salary Prediction website name Salary Nexus is used to predict the salary using machine learning models. Models used to predict the salary are Random Forest, LightGBM, and XGBoost.

This repo contains all information regarding Udacity's machine learning nanodegree

A Comprehensive Study of Rice Production and Price in Bangladesh: Geospatial Visualization and Predictive Modeling Techniques.