1348 Open source projects that are alternatives of or similar to ml-book

This repository consists of all my Machine Learning Projects.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A New, Interactive Approach to Learning Data Science

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

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

Jun 2020 scikit-learn sprint

Vectorized Machine Learning in Python 🐍 From Scratch

This repository is a recommended track, designed to get started with Machine Learning.

Beta Machine Learning Toolkit

A Julia machine learning framework

A high-level machine learning and deep learning library for the PHP language.

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Compilation of R and Python programming codes on the Data Professor YouTube channel.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

An Interactive Approach to Understanding Supervised Learning Algorithms

A fast xgboost feature selection algorithm

R interface for Fixed Effect Models

Heart Disease prediction using 5 algorithms

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

Code for Java Deep Learning Cookbook

Statistical Machine Intelligence & Learning Engine

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Machine Learning in R

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.

Machine Learning (EE 5184) in NTU

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Data-centric declarative deep learning framework

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Python codes from tutorials on the Data Professor YouTube channel

Python package for interactive data visualization

All the slides, accompanying code and exercises all stored in this repo. 🎈

List of Data Science and Machine Learning Resource that I frequently use

A fun study of some heuristics for the Travelling Salesman Problem.

A Clojure machine learning library

Misc Statistics and Machine Learning codes in R

The foundational library of the Morpheus data science framework

This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

This repository contains notes and projects of Data scientist track from dataquest course work.

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

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Tribuo - A Java machine learning library

All Algorithms implemented in R

Artificial Neural Networks for Scala

机器学习与深度学习算法示例

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Clasificador de preguntas escrito en python 3 que fue implementado en el siguiente vídeo: https://youtu.be/qnlW1m6lPoY

Long-term analysis of emotion, age, and sentiment using Lifeslice and text records.

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

🍊 📊 💡 Orange: Interactive data analysis

yet another custom data science template via cookiecutter

anomaly detection with anomalize and Google Trends data

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

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.

All Machine Learning Algorithms