158 Open source projects that are alternatives of or similar to Ml

Machine Learning Course @ Santa Clara University

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。

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

Variational Bayes linear and logistic regression

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Tracking, notes and programming snippets while learning predictive analytics

Python code for common Machine Learning Algorithms

An introductory statistics course for social scientists, using Stata

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

machine learning algorithm

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

Plain python implementations of basic machine learning algorithms

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

机器学习-Coursera-吴恩达- python+Matlab代码实现

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

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

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

A New, Interactive Approach to Learning Python

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

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

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

Deep Learning From Scratch

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

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Python implementation of Andrew Ng's ML course projects

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

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

Matlab library for gradient descent algorithms: Version 1.0.1

100 Days of ML Coding

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

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

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

simple tutorial on Machine Learning with Scikitlearn

Code for Tensorflow Machine Learning Cookbook

Multivariable regression library in Go

ICDSS Machine Learning Workshop Series: Linear Models

A sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享：数学建模竞赛优秀论文，数学建模常用算法模型，LaTeX论文模板，SPSS工具分享。

Java version of LIBLINEAR

A learned index structure

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

经典机器学习算法的极简实现

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

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

Regression, Scrapers, and Visualization

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

⭐️ Univariate Linear Regression with Gradient Descent in JavaScript (Vectorized)

🏭 JavaScript Machine Learning Toolkit

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

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

📈 Useful notes and personal collections on statistics.

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

Fast Best-Subset Selection Library

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Source code for my blog post "Getting started with TensorFlow on iOS"

A simple movie recommendation engine

Solve many kinds of least-squares and matrix-recovery problems