A comprehensive learning resource for machine learning, featuring Python-based tutorials, projects, and datasets on supervised, unsupervised, and deep learning techniques. Covers Scikit-learn, TensorFlow, and real-world applications for mastering ML concepts and deployment.

A comprehensive guide to machine learning with Python, covering algorithms, model training, and real-world deployment using frameworks like Scikit-learn and Flask. Includes end-to-end projects with datasets and tutorials for building and deploying ML applications.

Showcasing advanced deep learning projects utilizing CNNs and RNNs for tasks like image classification, customer churn prediction, and fake news detection. Demonstrates expertise in data preprocessing, model building, training, and evaluation to solve real-world problems.

Explore a diverse collection of MS SQL projects showcasing advanced query writing, data manipulation, and complex querying techniques, all solving real-world challenges. Demonstrates expertise in hierarchical queries, window functions, joins, and more.

I am learning JavaScript fundamentals through a YouTube course by Hitesh Choudhary. This course provides a strong foundation in JavaScript and practical knowledge on applying it to real-world projects.

A professional Python toolkit that automates flight alerts, habit tracking, and workout logging using real-world APIs and Google Sheets. Built with instant demo modes, secure .env configs, and a modular CLI-based design.

A Python-based vehicle license plate recognition system using OpenCV, contour detection, and EasyOCR. This project detects and extracts license plates from images and reads the plate numbers with high accuracy using deep learning-based OCR.

Learn to build powerful Generative AI applications in this hands-on 2025 course using Node.js, TypeScript, and OpenAI APIs (ChatGPT, DALL·E, Whisper). Explore real-world projects with LangChain, Express.js, REST APIs, Vector Databases, and intelligent AI Agents from setup to deployment.