Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on ⭐️ #15 Trending (All Languages) on
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Mar 6, 2023 - JavaScript
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on ⭐️ #15 Trending (All Languages) on
BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️
Interactive K-Nearest Neigrs machine learning algorithm in JavaScript.
A React, Flask and Machine Learning based web application for Crop and Fertilizer Recommendation
Welcome to the ultimate guide for starting your journey in Artificial Intelligence and Machine Learning in 2025! This roadmap provides a step-by-step approach to mastering AI and ML, from fundamentals to advanced topics.
Interactive HTML canvas based implementation of k-means.
Blockchain-powered supply chain management system with ML-driven sales prediction. Streamlines supplier-employee transactions and inventory management. Built with MERN stack, Solidity, and Flask.
Using machine learning to predict Georgia Tech bus arrival times
This application predicts the winner of cricket matches based on the players in each team.
Lexis is web based application that analyzes given user text input using SVM and shows the emotion(s) in the text
Deep Learning mit TensorFlow, Keras und TensorFlow.js
AI city
Legal Up recommends suitable lawyers⚖️ to clients based on concise case descriptions🔍 using advanced algorithms, ensuring clients find the right legal expertise. 💼
FernGallery - An online nursery.
Tutorial Python Sudeste de Previsão de Ações
A text summarizer made with Python and MEAN stack.
web app brand analysis and visualization. built with ReactJs and NodeJS
a global e-commerce website , supporting sellers, customers and delivery person. A price predictor using machine learning is made and embeded with every page to know if the product is costly or cheap. This project was in Top 20 of Self-Reliance Based Intelligent India Hackathon (SRIIH). Technologies Used : Django, scikit-learn
Created by David Cournapeau
Released January 05, 2010
Latest release 4 months ago