267 Open source projects that are alternatives of or similar to Machine-Learning

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

📈 Useful notes and personal collections on statistics.

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

Fast Best-Subset Selection Library

Python implementation of Andrew Ng's ML course projects

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

Basis Function Expansions for Julia

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

Using Computer with your Statistics Major Course

📈 Regression and Classification with UC Davis student quiz data and exam data

bitcoin prediction algorithms

Chrome browser extension for using TensorFlow image recognition on web pages

Testing doing basic regression with web assembly

100 Days of ML Coding

Basic Machine Learning implementation with python

Code for Java Deep Learning Cookbook

Matlab library for gradient descent algorithms: Version 1.0.1

Tracking, notes and programming snippets while learning predictive analytics

An introductory statistics course for social scientists, using Stata

Bare bone examples of machine learning in TensorFlow

整理记录本人担任课程助教设计的四个机器学习实验，主要涉及简单的线性回归、朴素贝叶斯分类器、支持向量机、CNN做文本分类。内附实验指导书、讲解PPT、参考代码，欢迎各位码友讨论交流。

Code for Tensorflow Machine Learning Cookbook

A New, Interactive Approach to Learning Python

Optimise FPL squads

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

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

SecMML: Secure MPC(multi-party computation) Machine Learning Framework

⟨𝜑|𝜓⟩.vue - a Vue-based visualization of quantum states and operations

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Collection of notebooks about quantitative finance, with interactive python code.

Convex optimization for java and scala, built on Apache Commons Math

A simple machine learning framework written in Swift 🤖

COIN-OR branch and cut (CBC) bindings for R

Simple machine learning library / 簡單易用的機器學習套件

A JavaScript library to allocate and optimize financial portfolios.

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

An efficient implementation of the Double Description Method

Python code for common Machine Learning Algorithms

Linear programming solvers in Python with a unified API

machine learning algorithm

Slides and notebooks for my tutorial at PyData London 2018

Six snippets of code that made deep learning what it is today.

Binary Image Classification in TensorFlow

Mixed Integer Linear and Quadratic Programming in R

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

General Assembly's 2015 Data Science course in Washington, DC

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Code for the Modeling and Solving Linear Programming with R book

A pure Rust linear programming solver

A simple movie recommendation engine

emhass: Energy Management for Home Assistant, is a Python module designed to optimize your home energy interfacing with Home Assistant.

Lattice-based integer linear programming solver

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Stock price trend prediction with news sentiment analysis using deep learning

《线性代数及其应用》笔记

Access to all MiniZinc functionality directly from Python

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

ANTARES Visualizations

A Python linear programming interface library