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).

📊 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

This repository showcases **10 curated projects** that demonstrate the mathematics behind Artificial Neural Networks (ANNs) using practical Python implementations. Ideal for learners, researchers, and aspiring data scientists.

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.

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

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

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

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

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.

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

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..

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

Projects on AI/ML

This repository contains my learning outcomes and project results using Machine Learning. *Note* This repository is not yet complete.

Hello! I'm Palak Yaduvanshi, a data science enthusiast with a passion for applying machine learning to solve real-world problems. I’m constantly learning and experimenting with new algorithms and tools to build impactful prediction models.