23 Open source projects that are alternatives of or similar to data-science

Matlab library for gradient descent algorithms: Version 1.0.1

JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics

Statistical Models with Regularization in Pure Julia

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

A collection of research papers on decision, classification and regression trees with implementations.

The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。

《统计学习方法》笔记-基于Python算法实现

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Notes and implementations in Python for ISLR.

Jupyter notebooks with examples of statistical methods and analyses using R.

Full Bayesian Inference for Hidden Markov Models

Statistical Learning & Data Mining IV - H2O Presenation & Tutorial

📈 Machine Learning from the perspective of a Statistician using R

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

基于Julia 1.0写李航博士《统计学习方法》

JCLAL is a general purpose framework developed in Java for Active Learning.

Advanced Normalization Tools in R

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

Univariate and multivariate time series forecasting