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).

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

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.

This repository showcases a collection of machine learning projects designed to demonstrate practical applications of various algorithms and techniques in data science. The goal is to provide a well-organized and modular codebase to explore and implement machine learning workflows across different domains.

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..

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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.

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

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.

An End-to-End project to detect spam Text messages.

Espaço dedicado à minha jornada de aprendizado em Machine Learning, abrangendo projetos práticos, experimentações e análises que ajudam a consolidar meu conhecimento e aplicá-lo em problemas do mundo real.