12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

scikit-learn机器学习库中文文档翻译项目

Attendance Management system using face recognition.

based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)

In this project, the objective is to predict whether the person has Diabetes or not based on various features like Number of Pregnancies, Insulin Level, Age, BMI.

Automated Tool for Optimized Modelling

machine_learning_examples

A repository to try out Supervised Learning algorithms in Machine Learning

A complete course on AI and machine learning, featuring Python-based tutorials, projects, and datasets covering algorithms, neural networks, and real-world applications. Designed for beginners to advanced learners, with hands-on exercises in Scikit-learn, TensorFlow, and PyTorch.

MLgenerator is a web app which help you to generate machine learning starter code with ease.

Entendendo Machine Learning com Scikit-Learn e TensorFlow na prática

A proof-of-concept for a RAG to query the scikit-learn documentation

A data-driven tool to predict the reaction order of homogeneous gas-phase reactions. Includes machine learning experiments on the NIST Chemical Kinetics Database.

A clustering tutorial with scikit-learn for beginners.

Crop Yield Prediction Web App Built using Sklearn and Laravel Web Framework

This is a simple python program which uses a machine learning model to detect toxicity in tweets, developed in Flask.

Using machine learning libraries to analyze NBA data

A simple Django-based resume ranker website where recruiters post their jobs and candidates applies for their desired vacancies. The system gets the document similarity between the job description and the candidate resumes, generates similarity scores using the KNN model, and rank or shortlist the candidate resumes.

End-to-end implementation of Spam Detection in Email using Machine Learning, Python, Flask, Gunicorn, Scikit-Learn, and Logistic Regression on the Heroku cloud application platform.

Application that predicts the number of stars that of a Yelp Review in realtime as a reviewer types it. Runs as a microservice-based application using Node.js, Python, and Docker. Displays results from Google Natural Language API and a custom trained classification models.