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

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.

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

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.

This repository features a collection of machine learning projects that showcase various algorithms and techniques for real-world applications. From predictive modeling to customer segmentation, each project provides hands-on insights into the power of machine learning.

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

A machine learning model for classifying objects as rock or mine using the SONAR dataset. The dataset consists of sonar signals reflected off objects in water, analyzed through preprocessing, training, and evaluation steps. The project includes data handling, model training, performance assessment, and predictions.

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.

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.

NeuroPulse is a website that predicts strokes using a machine learning Random Forest algorithm and provides information about stroke, including causes and prevention.

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.