Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

A simple machine learning framework written in Swift 🤖

A PureScript, browser-based implementation of simple linear regression.

An open-source, low-code machine learning library in Python

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

A day to day plan for this challenge. Covers both theoritical and practical aspects

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Plain python implementations of basic machine learning algorithms

The repository provides usefull python scripts for ML and data analysis

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

PHP-ML - Machine Learning library for PHP

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Code for Tensorflow Machine Learning Cookbook

I will update this repository to learn Machine learning with python with statistics content and materials

R package to interface with OpenML

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

A repo with tutorials for algorithms from scratch

Open-source implementation of Google Vizier for hyper parameters tuning