Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
A massive list including a huge amount of products and services that are completely free!
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Toolkit for Apache Spark ML for Feature clean-up, feature Importance calculation suite, Information Gain selection, Distributed SMOTE, Model selection and training, Hyper parameter optimization and selection, Model interprability.
This is a AI Based Smart Exam Proctoring System using python flask, mysql as database, yolov4
Stress classifier with AutoML
A platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
Reading notes on deep learning papers---深度学习论文阅读笔记 (2013-2018)
To have a proper posture🪑, you need to stay upright while sitting. This website uses machine learning model to learn patterns 👣 in your posture and helps your back by keeping you in a proper posture.
Upload group photos, arrange them by faces using ML and share them with ease. 🤳🤖
An analysis of the systemic impact, on the Web, of AI systems, and in particular ones based on Machine Learning models, and the role that Web standardization may play in managing that impact
GigaPack is API and calculation layer based on AlgoPack from MOEX
CropCareAI is an AI-powered web application built using Flask to assist plant enthusiasts, farmers, and researchers in identifying and diagnosing plant diseases using pretrained Machine Learning models.
Lyra V2 (SoundStream) running in the browser
This is a simple python program which uses a machine learning model to detect toxicity in tweets, developed in Flask.