Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

A machine learning library for Python and Rust, for PyTorch, Tensorflow and SKLearn models

🟣 Python Ml interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.

Collection of Notebooks from 30 Days of ML Challenge

Learn-python is a comprehensive repository designed to cover various aspects of Python learning. It includes examples, tutorials, and exercises to help beginners and developers enhance their Python programming skills. Perfect for anyone looking to start or advance their Python journey.

Crops disease detection mainly for tomato plants

This project aims to forecast inflation rates using machine learning techniques. Leveraging historical economic data on GDP and unemployment rates, the model provides predictions for future inflation trends.

❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++, Cognonic, etc.

Stock predictions via ML - live long and prosper

Simple spam filter for Python and Brython.

Here are the practiced & code play files summoned before Lovely Professional University instructors of Pandemic Data Analytics course @loviraj @manikant-iiitmk & Jasmine Kaur

This repository explores statistical and machine learning methods for classification and function approximation. It covers k-NN, Decision Trees, Information Theory, and Convexity, with Python implementations, theoretical explanations, model comparisons, and visualizations, making it a valuable resource for ML research and applications.