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linear-regression
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442 search results found
100 Days Of Ml Code
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42,417
100 Days of ML Coding
Tensorflow_cookbook
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6,085
Code for Tensorflow Machine Learning Cookbook
Financial Models Numerical Methods
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5,086
Collection of notebooks about quantitative finance, with interactive python code.
Tensorflow Book
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4,443
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Machine_learning_basics
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3,754
Plain python implementations of basic machine learning algorithms
Machine Learning Session
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3,188
Nakedtensor
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2,471
Bare bone examples of machine learning in TensorFlow
Machine Learning Specialization Coursera
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2,082
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Tensorflow2.0 Examples
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1,692
🙄 Difficult algorithm, Simple code.
Data Science Complete Tutorial
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1,575
For extensive instructor led learning
Dat8
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1,549
General Assembly's 2015 Data Science course in Washington, DC
Theano Tutorials
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1,221
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
Grt
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699
gesture recognition toolkit
Machine Learning Octave
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581
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis
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460
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
Sdm
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436
Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.
Autofeat
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410
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
Workshopscipy
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396
A workshop for scientific computing in Python. ( December 2017 )
Stock Analysis
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366
Regression, Scrapers, and Visualization
Multivariatestats.jl
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359
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
Regression
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334
Multivariable regression library in Go
2018 Machinelearning Lectures Esa
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324
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Abess
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317
Fast Best-Subset Selection Library
Organization Overview
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310
👇 Overview of all the resources of BRIIM: JavaScript in Machine Learning
100daysofmlcode
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302
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 👍
Fuku Ml
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278
Simple machine learning library / 簡單易用的機器學習套件
Blasjs
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272
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.
Deep Learning From Scratch
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250
Six snippets of code that made deep learning what it is today.
The Python Workshop
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245
A New, Interactive Approach to Learning Python
Linear_regression_live
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232
This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
Machinelearning
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222
Exercises for the Stanford/Coursera Machine Learning Class
Machine Learning Deployment
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208
Launch machine learning models into production using flask, docker etc.
100 Days Of Ml Code
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201
A day to day plan for this challenge. Covers both theoritical and practical aspects
Machine_learning
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183
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Machine Learning For Finance
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183
Machine Learning for finance and investment introduction
Sgdlibrary
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181
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Bootcamp_machine Learning
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172
Bootcamp to learn basics in Machine Learning
Ml_algo
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171
Machine learning algorithms in Dart programming language
Least Squares Course
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169
By a programmer for programmers
Ml Course
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168
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Aulas
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167
Aulas da Escola de Inteligência Artificial de São Paulo
Deep_learning_algorithms_from_scratch
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164
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
Machinelearning_ng
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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
Machine Learning
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161
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
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150
机器学习-Coursera-吴恩达- python+Matlab代码实现
Java Deep Learning Cookbook
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150
Code for Java Deep Learning Cookbook
Machine_learning_2018
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146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Mlkit
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142
A simple machine learning framework written in Swift 🤖
Deeplearning.ai
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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
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138
machine learning algorithm
Machine Learning
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133
python,机器学习笔记,machine learning,nlp
Brucer
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131
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.
Machine_learning_a Z
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130
Learning to create Machine Learning Algorithms
Funq
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128
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Deeplearning
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120
Deep Learning From Scratch
Coursera Machine Learning Specialization
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120
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
Ds_and_ml_projects
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110
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Shaman
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108
Machine Learning library for node.js
Mlwithpytorch
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107
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
Compendium Of Free Ml Reading Resources
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106
Compendium of free ML reading resources
Pymc3_vs_pystan
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105
Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation video: https://www.youtube.com/watch?v=Jb9eklfbDyg
Prediction Builder
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103
A library for machine learning that builds predictions using a linear regression.
Skpr
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103
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.
Machine Learning Concepts
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96
Machine Learning Concepts with Concepts
Grokking Artificial Intelligence Algorithms
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91
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
Secmml
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85
SecMML: Secure MPC(multi-party computation) Machine Learning Framework
Moderndive
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81
R package for tidyverse-friendly introductory linear regression
Machine Learning Models
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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
Highcharts_trendline
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77
HighCharts demo of scatter plot, including a trend line
Piecewise Regression
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76
piecewise-regression (aka segmented regression) in python. For fitting straight line models to data with one or more breakpoints where the gradient changes.
Classifiertoolbox
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75
A MATLAB toolbox for classifier: Version 1.0.7
Flatiron School Data Science Curriculum Resources
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75
Lesson material on data science and machine learning topics/concepts
Linear_regression_detailed_implementation
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75
Ml Starter Pack
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70
A collection of Machine Learning algorithms written from sctrach.
Ineuron Full Stack Data Science Assignments
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68
This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
Ml Coursera
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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.
Brihaspati
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66
Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
Linear Regression Gradient Descent
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66
⭐️ Linear Regression with Gradient Descent in JavaScript (Unvectorized, Visualized)
Ds Ml Interview Questions
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65
An Personal Note for DS/ML interview questions
Undergraduate In Statistics
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59
Using Computer with your Statistics Major Course
Azureml Regression Example
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59
This repo contains all the code and data necessary to explore non-linear regression using Azure ML.
Linear Regression Sklearn
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58
Multivariate linear regression with sklearn
Elasticsearch Linear Regression
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57
A machine learning plugin for Elasticsearch providing aggregations to compute multiple linear regression on search results in real-time for predictive analytics.
Strtsmrt
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57
Stock price trend prediction with news sentiment analysis using deep learning
Pyloess
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56
A simple implementation of the LOESS algorithm using numpy
Ml From Scratch
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56
Machine Learning algorithms implemented in Python from scratch
Bces
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56
Python module for performing linear regression for data with measurement errors and intrinsic scatter
Mathematics Statistics For Data Science
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54
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 Exercise
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54
Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.
Ml Models
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54
Machine Learning Procedures and Functions for Neo4j
Machinelearning
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52
โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น
Beyondmlr
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51
Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The rendered version can be found at: https://bookdown.org/roback/bookdown-BeyondMLR/
Bayesian Linear Regression
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51
A python tutorial for a Bayesian treatment of Linear Regression: https://zjost.github.io/bayesian-linear-regression
Rmi
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51
A learned index structure
Isl Python
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50
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Ml Experiments
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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
Gneiss
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48
compositional data analysis toolbox
Unfold
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48
A matlab EEG toolbox to perform overlap correction and non-linear & linear regression.
25daysinmachinelearning
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48
I will update this repository to learn Machine learning with python with statistics content and materials
The Elements Of Statistical Learning
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46
This repository contains R code for exercices and plots in the famous book.
Related Searches
Jupyter Notebook Linear Regression (701)
Python Linear Regression (567)
Machine Learning Linear Regression (534)
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