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Top 91 linear-regression open source projects

models-by-example

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

Fast Best-Subset Selection Library

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C++r python Cuda c CMake machine-learning linear-regression scikit-learn high-dimensional-data principal-component-analysis classification-algorithm polynomial-algorithm best-subset-selection

TotalLeastSquares.jl

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

✭ 23

julia linear-regression estimation least-squares imputation outlier-detection missing-data matrix-completion robust-pca singular-value-decomposition least-square-regression nonnegative-matrix-factorization robust-regresssion total-least-square robust-estimation robust-statistics errors-in-variables missing-data-imputation

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

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Jupyter Notebook python linear-regression logistic-regression predictive-analytics-for-business

machine learning in python

Demo of basic machine learning models in python with Jupter Notebook

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Jupyter Notebook data-science machine-learning data-mining database notebook linear-regression jupyter-notebook data-visualization

BasisFunctionExpansions.jl

Basis Function Expansions for Julia

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julia linear-regression approximation julia-package function-approximation time-series-analysis function-expansion

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Undergraduate-in-Statistics

Using Computer with your Statistics Major Course

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Jupyter Notebook statistics calculus optimization linear-regression linear-algebra probability jupyter-notebook mathematics bayes

machine learning

A gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering

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Jupyter Notebook data-science data machine-learning linear-regression scikit-learn nearest-neighbors

bitcoin-prediction

bitcoin prediction algorithms

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Jupyter Notebook random-forest linear-regression machine-learning-algorithms recurrent-neural-networks gru arima prophet prediction-algorithm svm-classifier lstm-neural-networks holt-winters bitcoin-price-prediction

Machine-learning

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

✭ 27

Jupyter Notebook machine-learning algorithm deep-learning clustering linear-regression datascience model-selection neural-networks polynomial-regression hacktoberfest hacktober nlp-machine-learning prediction-model logisitic-regression decision-tree-regression customer-segmentation random-forest-regression hactoberfest-accepted

regression-wasm

Testing doing basic regression with web assembly

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go Dockerfile Makefile linear-regression wasm web-assembly multiple-regression

Machine Learning Procedures and Functions for Neo4j

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java data-science machine-learning analytics neo4j linear-regression graph-database cypher

machine-learning-implemetation-python

Basic Machine Learning implementation with python

✭ 51

Jupyter Notebook python machine-learning linear-regression machine-learning-algorithms multinomial-naive-bayes k-means-implementation-in-python newton-method multiclass-logistic-regression gaussian-naive-bayes-implementation naive-bayes-implementation perceptron-algorithm gaussian-discriminant-analysis logistic-regression-scratch multiclass-gda-implementation wrapper-me

Matlab library for gradient descent algorithms: Version 1.0.1

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matlab machine-learning big-data newton optimization svm linear-regression machine-learning-algorithms statistical-learning classification logistic-regression gradient gradient-descent softmax-regression optimization-algorithms matrix-completion multinomial-regression rosenbrock-problem

📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

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r data-science cran statistics linear-regression toolbox rstats data-analysis multilevel-models r-package anova linear-models

An introductory statistics course for social scientists, using Stata

✭ 43

TeX Stata statistics course linear-regression statistical-methods data-visualization statistical-analysis data-analysis logistic-regression regression-models regression-diagnostics social-sciences

Python module for performing linear regression for data with measurement errors and intrinsic scatter

✭ 56

Jupyter Notebook python statistics linear-regression

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。

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python machine-learning svm linear-regression bayes-classifier cnn-text-classification

Machine-Learning-Models

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

a collection of modern sparse (regularized) linear regression algorithms.

✭ 55

python linear-regression regression-models sparse-regression efs boats ffx sindy

Machine-Learning-Notebooks

15+ Machine/Deep Learning Projects in Ipython Notebooks

✭ 66

Jupyter Notebook machine-learning notebook tensorflow linear-regression keras ipython-notebook iris keras-neural-networks tensorflow-models multivariate-regression keras-tensorflow iris-dataset cifar-10

mathematics-statistics-for-data-science

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.

✭ 56

r python bootstrap clustering linear-regression pca-analysis probability-distribution dimensionality-reduction monte-carlo-simulation rejection-sampling importance-sampling regression-analysis data-imputation inverse-transform-method factor-analysis-methods statistcal-tests canonical-correlation

Benchmarking and Visualization Toolkit for Penalized Cox Models

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r c benchmark linear-regression high-dimensional-data survival-analysis penalized-cox-models nomogram-visualization

SecMML: Secure MPC(multi-party computation) Machine Learning Framework

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C++python CMake linear-regression neural-networks shamir-secret-sharing directed-acyclic-graph multi-party-computation bgw

A simple implementation of the LOESS algorithm using numpy

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Jupyter Notebook python shell data-science linear-regression loess

machine learning course

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

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Jupyter Notebook TeX python machine-learning deep-learning linear-regression feature-extraction logistic-regression convolutional-neural-networks gradient-descent pretrained-models data-augmentation backpropagation-algorithm keras-tensorflow fine-tuning

Machine-Learning

🌎 I created this repository for educational purposes. It will host a number of projects as part of the process .

✭ 38

python r java machine-learning neural-network tensorflow linear-regression linear-programming matrix-multiplication matrices neural-networks tensorflow-experiments tensorflow-models

flatiron-school-data-science-curriculum-resources

Lesson material on data science and machine learning topics/concepts

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Jupyter Notebook learning data-science machine-learning statistics sql deep-learning numpy linear-regression pandas data-visualization gradient-descent neural statistical-distributions

Python-AndrewNgML

Python implementation of Andrew Ng's ML course projects

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python neural-network linear-regression logistic-regression svm-classifier andrew-ng python-andrewngml

61-91 of 91 linear-regression projects