Repo cataloging my coursework for Andrew Ng's ML MOOC

Old coursework completed during school breaks. TTIC coursework not shown.

Complete assignment submissions for the Coursera Mooc on Machine Learning

🤖 A unified repository of coursework fragments from UC Berkeley MIDS ML courses

Practice notebooks and peer graded project for "ML with Python" course.

This repo contains all the coding artifacts for the Intro to AI ML Coursework (5th Semester)

SoT for ML/AI coursework for "ML for Monsters" at DeepMay 2023

ML Coursework focused on solving Computational Finance and Risk Assessment models

Introduction to ML - Decision Tree Coursework

Applied Machine Learning CourseWork UCL MSc

Coursework and notes for the Berkeley AI/ML Certification program.

5 semesters of MCA coursework at NIT Warangal -- C++, Python, R, ML, Deep Learning, Image Processing, and DSA

Contains coursework on Machine Learning for Big Data. Skills/Tech Stack Used: ML Libraries such as sklearn, scipy etc, Spark, Python

This repository showcases my AI Engineering Professional Certificate coursework, including Jupyter Notebooks with code, explanations, and visualizations, as well as HTML/PDF summaries. It demonstrates my skills in AI/ML, deep learning, neural networks, and model optimization.

repository for ML coursework

Assignments and notes for cs231: Convolutional Neural Networks and cs294: Deep Reinforcement Learning

Coursework for AI_ML course

A revised and refined adaptation of the Udacity Machine Learning course.

Simple MLP implementation for a simple regression model

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Assignments for CSD 316 Introduction to Machine Learning

MATLAB implementation of an acceleration-based user authentication system. Includes preprocessing, feature engineering (ANOVA+MI+SG), neural network & SVM models, ratio-splitting experiments, and evaluation/visualisation scripts.

A COURSEWORK OF ML CW-LAB01 - CHENXIN - WINE QUALITY

Repo for the coursework of the A-Z ML Course + AIMC

6NRP Tutorial on Expanding AI/ML Coursework with Jupyter on the NRP

Coursework and projects for ML course, including theoretical homework solutions/problems, final solution/problems and the project of the course

Contains Projects and Coursework on Natural Language Processing. Skills/Tech Stack Used: Python, ML and NLP Libraries such as NLTK, Pandas, Sklearn etc.

A complete Artificial Intelligence coursework archive (2025). Features real-time Face/Smile detection with OpenCV, data processing with Pandas/NumPy, and ML implementations including SVM, Naive Bayes, and K-Means clustering.

Your go-to destination for mastering the JNTUH R22 syllabus. We’ve centralized everything you need—from in-depth class notes to curated study guides—to help you navigate your AI & ML coursework with confidence and ease.