Pinned Loading

1. regression_ml_end_to_end regression_ml_end_to_end Public

   A production-ready End-to-End Machine Learning pipeline for Housing Price Prediction. Built with XGBoost, tracked via MLflow, served with FastAPI, and deployed to AWS ECS using Docker containers

   Jupyter Notebook 1

2. coding_transformer_from_scratch coding_transformer_from_scratch Public

   Minimal Transformer (EN→IT) built from scratch with PyTorch. Includes dataset/tokenizer setup, training loop, checkpoints, inference, and attention visualization. Trained on a small opus_books subs…

   Jupyter Notebook

3. dqn-cartpole-baseline dqn-cartpole-baseline Public

   simple Deep Q-Network (DQN) built for the CartPole balancing simulation. This project serves as a baseline to understand the fundamentals of DQN and reinforcement learning, providing a clear starti…

   Jupyter Notebook

4. customer-churn-ecs-terraform-iac customer-churn-ecs-terraform-iac Public

   Production-ready Customer Churn Prediction system deployed on AWS ECS (Fargate) using Terraform IaC, FastAPI, Docker, and ALB with CI/CD support.

   HCL

5. Customer_Churn_End_2_End Customer_Churn_End_2_End Public

   This project demonstrates a complete End-to-End Machine Learning pipeline for predicting customer churn. It integrates various modern MLOps tools and practices, from data analysis to model deployme…

   Jupyter Notebook