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The Top 1,183 Linear Regression Open Source Projects on Github

Categories > Machine Learning > Linear Regression
100 Days Of Ml Code ⭐ 33,030
100 Days of ML Coding
Tensorflow_cookbook ⭐ 5,953
Code for Tensorflow Machine Learning Cookbook
Tensorflow Book ⭐ 4,443
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Machine_learning_basics ⭐ 3,546
Plain python implementations of basic machine learning algorithms
Financial Models Numerical Methods ⭐ 3,453
Collection of notebooks about quantitative finance, with interactive python code.
Machine Learning With Python ⭐ 3,189
Python code for common Machine Learning Algorithms
Nakedtensor ⭐ 2,471
Bare bone examples of machine learning in TensorFlow
Tensorflow2.0 Examples ⭐ 1,526
🙄 Difficult algorithm, Simple code.
Dat8 ⭐ 1,439
General Assembly's 2015 Data Science course in Washington, DC
Data Science Complete Tutorial ⭐ 1,084
For extensive instructor led learning
Grt ⭐ 699
gesture recognition toolkit
Machine Learning Octave ⭐ 581
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Stock Analysis ⭐ 312
Regression, Scrapers, and Visualization
Fuku Ml ⭐ 278
Simple machine learning library / 簡單易用的機器學習套件
Regression ⭐ 278
Multivariable regression library in Go
2018 Machinelearning Lectures Esa ⭐ 270
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Blasjs ⭐ 253
Pure Javascript manually written 👌 implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.
Autofeat ⭐ 252
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Deep Learning From Scratch ⭐ 250
Six snippets of code that made deep learning what it is today.
Machine Learning Deployment ⭐ 208
Launch machine learning models into production using flask, docker etc.
The Python Workshop ⭐ 202
A New, Interactive Approach to Learning Python
100daysofmlcode ⭐ 195
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍
100 Days Of Ml Code ⭐ 174
A day to day plan for this challenge. Covers both theoritical and practical aspects
Aulas ⭐ 167
Aulas da Escola de Inteligência Artificial de São Paulo
Machine_learning ⭐ 164
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Machinelearning_ng ⭐ 163
吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng
Ml Course ⭐ 159
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Java Deep Learning Cookbook ⭐ 150
Code for Java Deep Learning Cookbook
Machine_learning_2018 ⭐ 146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Mlkit ⭐ 142
A simple machine learning framework written in Swift 🤖
Sgdlibrary ⭐ 141
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Deeplearning.ai ⭐ 139
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。
Mylearn ⭐ 138
machine learning algorithm
Machine Learning ⭐ 120
This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included.
Machine Learning Andrew Ng ⭐ 111
机器学习-Coursera-吴恩达- python+Matlab代码实现
Mlwithpytorch ⭐ 102
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
Funq ⭐ 100
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Machine Learning Concepts ⭐ 96
Machine Learning Concepts with Concepts
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis ⭐ 92
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
Ds_and_ml_projects ⭐ 92
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Grokking Artificial Intelligence Algorithms ⭐ 91
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
Ml_algo ⭐ 87
Machine learning algorithms in Dart programming language
Machine Learning Models ⭐ 81
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
Deeplearning ⭐ 80
Deep Learning From Scratch
Skpr ⭐ 79
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.
Highcharts_trendline ⭐ 77
HighCharts demo of scatter plot, including a trend line
Flatiron School Data Science Curriculum Resources ⭐ 75
Lesson material on data science and machine learning topics/concepts
Brucer ⭐ 71
🛠 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
Ml Coursera ⭐ 67
This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.
Linear Regression Gradient Descent ⭐ 66
⭐️ Linear Regression with Gradient Descent in JavaScript (Unvectorized, Visualized)
Netflix Style Recommender ⭐ 64
A simple movie recommendation engine
Strtsmrt ⭐ 57
Stock price trend prediction with news sentiment analysis using deep learning
Elasticsearch Linear Regression ⭐ 57
A machine learning plugin for Elasticsearch providing aggregations to compute multiple linear regression on search results in real-time for predictive analytics.
Undergraduate In Statistics ⭐ 56
Using Computer with your Statistics Major Course
Secmml ⭐ 55
SecMML: Secure MPC(multi-party computation) Machine Learning Framework
Ml Models ⭐ 54
Machine Learning Procedures and Functions for Neo4j
Rmi ⭐ 51
A learned index structure
Isl Python ⭐ 50
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Ml Experiments ⭐ 50
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。
25daysinmachinelearning ⭐ 48
I will update this repository to learn Machine learning with python with statistics content and materials
Classifiertoolbox ⭐ 47
A MATLAB toolbox for classifier: Version 1.0.7
Linearreg.js ⭐ 46
Linear regression with Gradient descent package for NPM.
Bces ⭐ 45
Python module for performing linear regression for data with measurement errors and intrinsic scatter
Machine_learning_course ⭐ 44
Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
Srqm ⭐ 39
An introductory statistics course for social scientists, using Stata
Sales Forecast Ml ⭐ 37
Web app to predict sales of a new product 📈
Ml2017 ⭐ 36
2017 Spring (105-2) -- Machine Learning
Machine Learning ⭐ 35
🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .
Linear Regression ⭐ 33
Linear regression implemented in Ruby.
Machine_learning_cpp ⭐ 33
Machine Learning C++
Hdnom ⭐ 33
Benchmarking and Visualization Toolkit for Penalized Cox Models
Regression Wasm ⭐ 32
Testing doing basic regression with web assembly
Ml ⭐ 31
A set of machine learning experiments in Clojure
Brihaspati ⭐ 30
Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
Unfold ⭐ 30
A matlab EEG toolbox to perform overlap correction and non-linear & linear regression.
Coursera Machine Learning ⭐ 30
🎓 My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.
Ml2017 ⭐ 28
NTUEE Machine Learning, 2017 Spring
Wisconsin Breast Cancer ⭐ 27
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
Gdlibrary ⭐ 27
Matlab library for gradient descent algorithms: Version 1.0.1
Machine Learning Models ⭐ 26
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Market Mix Modeling ⭐ 26
Market Mix Modeling for an eCommerce firm to estimate the impact of various marketing levers on sales
The Elements Of Statistical Learning ⭐ 25
This repository contains R code for exercices and plots in the famous book.
Deep Learning Book ⭐ 25
Код примеров из книги "Глубокое обучение. Погружение в мир нейронных сетей"
Machine Learning Regression ⭐ 25
Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python
Dynamic Movement Primitives And Imitation Learning Robotics ⭐ 25
Dynamic movement primitives (DMPs) are a method of trajectory control/planning from Stefan Schaal’s lab. Complex movements have long been thought to be composed of sets of primitive action ‘building blocks’ executed in sequence and \ or in parallel, and DMPs are a proposed mathematical formalization of these primitives. The difference between DMPs and previously proposed building blocks is that each DMP is a nonlinear dynamical system. The basic idea is that you take a dynamical system with well specified, stable behavior and add another term that makes it follow some interesting trajectory as it goes about its business. The DMP differential equations (Transformation System, Canonical System, Non-linear Function) realize a general way of generating point-to-point movements. Imitation learning using linear regression is performed to compute the weight factor W from a demonstrated trajectory dataset, given by a teacher. The quality of the imitation is evaluated by comparing the training data with the data generated by the DMP.
Sparsereg ⭐ 24
a collection of modern sparse (regularized) linear regression algorithms.
Linearregression ⭐ 24
An implementation of Linear Regression from scratch in python 📈
Machine Learning ⭐ 23
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
Datascience350 ⭐ 23
Notes for Data Science 350 Class
Tensorflow Deep Learning ⭐ 23
Tensorflow Examples
Mathematics Statistics For Data Science ⭐ 23
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.
Machine Learning Notebooks ⭐ 22
15+ Machine/Deep Learning Projects in Ipython Notebooks
Machine_learing_algo_python ⭐ 21
implement the machine learning algorithms by python for studying
Cobra ⭐ 21
A Python package to build predictive linear and logistic regression models focused on performance and interpretation
Python Andrewngml ⭐ 21
Python implementation of Andrew Ng's ML course projects
Pyloess ⭐ 20
A simple implementation of the LOESS algorithm using numpy
Lecture 3 Linear Models ⭐ 20
ICDSS Machine Learning Workshop Series: Linear Models
Elixir_learn_kit ⭐ 20
Elixir library for machine learning
Learning Python Predictive Analytics ⭐ 20
Tracking, notes and programming snippets while learning predictive analytics
Coronavirus_prediction ⭐ 20
This project aims to predict the numbers that are published in each day regarding the amount of Coronavirus (COVID-19) cases and deaths.
1-100 of 1,183 projects

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