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

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

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

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

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

GeoPredictor is an Earthquake Prediction Model using Machine Learning. The project leverages historical earthquake data to predict the magnitude of future earthquakes based on various geographical features such as latitude, longitude, depth, and distance to the Ring of Fire.

This repository contains well-structured notes on Docker, tailored specifically for Machine Learning workflows. It includes practical examples and use cases to help you containerize, deploy, and manage ML applications efficiently using Docker.

A machine learning model that predicts whether news is real or fake using Logistic Regression. Includes data cleaning with NLTK, TF-IDF feature extraction, and scikit-learn for modeling. Built in Google Colab to demonstrate text classification and misinformation detection.

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.

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

ML Project Generator – A simple and efficient CLI tool that automates the setup of machine learning projects. Instantly create a well-structured ML project with the right folders, boilerplate code, and dependencies in just one command! 🚀