This Repository Contain All the Artificial Intelligence Projects such as Machine Learning, Deep Learning and Generative AI that I have done while understanding Advanced Techniques & Concepts.

Machine Learning projects with source code - Machine Learning projects for beginners, ML projects for final year college students, machine learning projects - beginner to advanced

🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

计算机毕业设计、机器学习毕业设计、深度学习毕业设计、原创AI项目【源码+论文】

A structured Machine Learning learning repository with theory notes, implementations, notebooks, and real-world ML projects from basics to deployment.

📊 Building ML projects using Python, Scikit-learn & more.

A structured Machine Learning learning & revision repository with hands-on notebooks, practical examples, and quick reference guides for developers and students.

is an open source repository focused on providing practical and educational machine learning resources. The project aims to make learning and applying machine learning more accessible through well-documented code, tutorials, and real-world examples.

Artificial Neural Networks (ANNs)

A collection of hands-on projects exploring machine learning concepts using scikit-learn. Each project demonstrates a key ML technique (i.g, classification, regression, clustering, dimensionality reduction, etc.) with clean, well-documented code for learning and experimentation.

Ask any question to your documents, PDFs, or SQL databases using GenAI for quick and accurate answers.

A comprehensive collection of machine learning algorithms, implementations, and experiments covering various aspects of data science and artificial intelligence.

Machine Learning, Deep Learning, Data Analytics, Power BI, GenAI & Azure Cloud projects completed during Microsoft Elevate Internship (GTU 8th Semester) with hands-on labs and real-world implementations.

A Machine Learning project that predicts student math performance using features like reading score, writing score, parental education, lunch type, and test preparation course. Built with Python, Scikit-learn, Pandas, and Streamlit, featuring data preprocessing, model training, evaluation, and an interactive web app.

Areca nut quality sorting is a manual process done by farmers, so this project is aimed to make areca nut quality sorting without human intervention

AI projects - Basic Ml Models To Deep Learning Projects All At One Place

End-to-end AI system for churn prediction with FastAPI + Streamlit + SHAP

A machine learning model for classifying music genres based on audio features. This repository contains the code and resources for building, training, and evaluating the model using popular libraries like TensorFlow and scikit-learn. It aims to predict the genre of music from raw audio data, providing a practical solution for music classification..

Where churn meets anomaly. Churnomaly is not just a churn predictor, it's an early warning system for customer escape velocity. Blending classic churn modeling with outlier-hunting intuition, Churnomaly dives deep into behavioral signals to uncover the subtle shifts that precede goodbye. Think of it as a radar for retention.

A comprehensive machine learning learning track featuring hands-on projects and practical implementations of various ML algorithms and techniques.