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

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.

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

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

This project uses a pre-trained ResNet50 model from the FastAI library to detect pneumonia in chest X-rays. The dataset which is available on kaggle is used for training the model which classifies the chest xray as NORMAL, VIRAL or BACTERIAL and this project is deployed on Flask

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) Projects

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.

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

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

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

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

Application made using Flask that runs on a ML Model trained using random forest classification model that helps in prediction of heart disease

Explore the world of machine learning-based stress detection in social media posts. This project leverages Python to classify text as 'Stress' or 'No Stress,' offering valuable insights into mental health analysis.

Keyword Extraction, Topic Modelling & Document Categorization of News Articles

Solutions and notebooks for Kaggle ML competitions

A beginner-to-intermediate friendly project exploring machine learning models for regression and classification tasks. Includes a fully documented Jupyter Notebook, Python script, and step-by-step guidance for experimenting with preprocessing, model selection, and evaluation metrics

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 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..

🚀 Build and deploy advanced multimodal retrieval-augmented generation systems with RAG-Anything, your all-in-one framework for enhanced AI solutions.