Projects in Awesome Lists tagged with linear-regression

https://github.com/avik-jain/100-days-of-ml-code

100 Days of ML Coding

100-days-of-code-log 100daysofcode deep-learning implementation infographics linear-algebra linear-regression logistic-regression machine-learning machine-learning-algorithms naive-bayes-classifier python scikit-learn siraj-raval siraj-raval-challenge support-vector-machines svm tutorial

Last synced: 14 May 2025

https://github.com/Avik-Jain/100-Days-Of-ML-Code

100 Days of ML Coding

100-days-of-code-log 100daysofcode deep-learning implementation infographics linear-algebra linear-regression logistic-regression machine-learning machine-learning-algorithms naive-bayes-classifier python scikit-learn siraj-raval siraj-raval-challenge support-vector-machines svm tutorial

Last synced: 26 Mar 2025

https://github.com/nfmcclure/tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

classification cnn genetic-algorithm kmeans-clustering linear-regression machine-learning neural-network nlp ode packtpub regression rnn svm tensorboard tensorflow tensorflow-algorithms tensorflow-cookbook

Last synced: 14 May 2025

https://github.com/cantaro86/financial-models-numerical-methods

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

american-options brownian-motion econometrics financial-engineering financial-mathematics fourier-inversion heston-model jump-diffusion-mertons-model jupyter-notebooks kalman-filter levy-processes linear-regression linear-systems-equations monte-carlo-methods option-pricing partial-differential-equations python quantitative-finance stochastic-differential-equations stochastic-processes

Last synced: 14 May 2025

https://github.com/cantaro86/Financial-Models-Numerical-Methods

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

american-options brownian-motion econometrics financial-engineering financial-mathematics fourier-inversion heston-model jump-diffusion-mertons-model jupyter-notebooks kalman-filter levy-processes linear-regression linear-systems-equations monte-carlo-methods option-pricing partial-differential-equations python quantitative-finance stochastic-differential-equations stochastic-processes

Last synced: 14 Mar 2025

https://github.com/greyhatguy007/machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

andrew-ng andrew-ng-machine-learning coursera coursera-assignment coursera-specialization decision-trees deep-learning linear-regression logistic-regression machine-learning mooc neural-network python recommendation-system solutions supervised-machine-learning tensorflow unsupervised-learning unsupervised-machine-learning

Last synced: 14 May 2025

https://github.com/binroot/tensorflow-book

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

autoencoder book classification clustering convolutional-neural-networks linear-regression logistic-regression machine-learning regression reinforcement-learning tensorflow

Last synced: 14 May 2025

https://github.com/BinRoot/TensorFlow-Book

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

autoencoder book classification clustering convolutional-neural-networks linear-regression logistic-regression machine-learning regression reinforcement-learning tensorflow

Last synced: 20 Mar 2025

https://github.com/susanli2016/machine-learning-with-python

Python code for common Machine Learning Algorithms

decision-trees hierarchical-clustering kmeans-clustering knn-classification lda linear-regression logistic-regression naive-bayes-classifier pca polynomial-regression random-forest svm svr xgboost-algorithm

Last synced: 14 May 2025

https://github.com/zotroneneis/machine_learning_basics

Plain python implementations of basic machine learning algorithms

algorithm ipynb k-nearest-neighbor k-nearest-neighbours k-nn kmeans linear-regression logistic-regression machine-learning machine-learning-algorithms neural-network neural-networks perceptron python python-implementations python3

Last synced: 09 Apr 2025

https://github.com/susanli2016/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

decision-trees hierarchical-clustering kmeans-clustering knn-classification lda linear-regression logistic-regression naive-bayes-classifier pca polynomial-regression random-forest svm svr xgboost-algorithm

Last synced: 17 Apr 2025

https://github.com/jostmey/NakedTensor

Bare bone examples of machine learning in TensorFlow

big-data distributed-computing linear-regression simple tensorflow tensorflow-examples tensorflow-exercises tensorflow-tutorials

Last synced: 13 May 2025

https://github.com/jostmey/nakedtensor

Bare bone examples of machine learning in TensorFlow

big-data distributed-computing linear-regression simple tensorflow tensorflow-examples tensorflow-exercises tensorflow-tutorials

Last synced: 15 May 2025

https://github.com/edyoda/data-science-complete-tutorial

For extensive instructor led learning

decision-trees feature-selection linear-regression machine-learning nearest-neighbors numpy pandas pipeline scikit-learn

Last synced: 15 May 2025

https://github.com/yunyang1994/tensorflow2.0-examples

🙄 Difficult algorithm, Simple code.

convolutional-neural-network dcgan-tensorflow deep-learning deep-neural-networks fcn8s gan image-classification linear-regression machine-learning object-detection pix2pix reinforcement-learning resnet tensorflow tensorflow-examples tensorflow2 unet-image-segmentation vgg16 yolov3

Last synced: 15 May 2025

https://github.com/YunYang1994/TensorFlow2.0-Examples

🙄 Difficult algorithm, Simple code.

convolutional-neural-network dcgan-tensorflow deep-learning deep-neural-networks fcn8s gan image-classification linear-regression machine-learning object-detection pix2pix reinforcement-learning resnet tensorflow tensorflow-examples tensorflow2 unet-image-segmentation vgg16 yolov3

Last synced: 18 Mar 2025

https://github.com/justmarkham/dat8

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

clustering course data-analysis data-cleaning data-science data-visualization decision-trees ensemble-learning jupyter-notebook linear-regression logistic-regression machine-learning model-evaluation naive-bayes natural-language-processing pandas python regular-expressions scikit-learn web-scraping

Last synced: 15 May 2025

https://github.com/trekhleb/machine-learning-octave

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

clustering linear-regression machine-learning matlab neural-network neural-networks octave prediction regression

Last synced: 04 Apr 2025

https://github.com/abess-team/abess

Fast Best-Subset Selection Library

best-subset-selection classification-algorithm cox-regression feature-selection high-dimensional-data linear-regression logistic-regression machine-learning multitask-learning ordinal-regression poisson-regression polynomial-algorithm principal-component-analysis python r robust-principal-component-analysis scikit-learn sparse-principal-component-analysis sure-independence-screening

Last synced: 15 May 2025

https://github.com/sajari/regression

Multivariable regression library in Go

go linear-regression regression

Last synced: 16 May 2025

https://github.com/juliastats/multivariatestats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

cca dimensionality-reduction ica isotonic-regression julia lda linear-regression mds multivariate-statistics ols-regression pca regression ridge-regression statistics

Last synced: 16 May 2025

https://github.com/jmartinezheras/2018-MachineLearning-Lectures-ESA

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

anomaly-detection clustering decision-trees deep-learning lecture-material lecture-slides lecture-videos lectures linear-regression machine-learning machinelearning neural-network pca random-forest support-vector-machines text-mining tf-idf topic-modeling

Last synced: 21 Apr 2025

https://github.com/nishkarshraj/100daysofmlcode

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 :+1:

100daysofcode 100daysofmlcode artificial-intelligence artificial-neural-networks big-data classification classification-algorithm deep-learning generative-ai hacktoberfest linear-algebra linear-regression llm machine-learning neural-networks polynomial-regression python regression regression-models scikitlearn-machine-learning

Last synced: 15 May 2025

https://github.com/r-js/blasjs

Pure Javascript manually written :ok_hand: implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.

blas complex-matrix conjugate conjugate-matrix determinant generalized-linear-model lapack linear-algebra linear-regression machine-learning mathlab matrix neural-network transpose-matrix vector vector-algebra

Last synced: 05 Apr 2025

https://github.com/R-js/blasjs

Pure Javascript manually written :ok_hand: implementation of BLAS, Many numerical software applications use BLAS computations, including Armadillo, LAPACK, LINPACK, GNU Octave, Mathematica, MATLAB, NumPy, R, and Julia.

blas complex-matrix conjugate conjugate-matrix determinant generalized-linear-model lapack linear-algebra linear-regression machine-learning mathlab matrix neural-network transpose-matrix vector vector-algebra

Last synced: 25 Apr 2025

https://github.com/suji04/ml_from_scratch

Implementation of basic ML algorithms from scratch in python...

decision-tree-classifier decision-tree-regression gradient-descent k-means-clustering knn-algorithm linear-regression logistic-regression python stochastic-gradient-descent youtube-channel

Last synced: 06 Apr 2025

https://github.com/amanovishnu/ineuron-full-stack-data-science-assignments

this repository features assignments and projects from the iNeuron full stack data science course, providing valuable resources for learners to enhance their skills and apply their knowledge.

computer-vision data-science datascience deep-learning exploratory-data-analysis linear-regression machine-learning natural-language-processing python recommender-system sql statistics

Last synced: 08 Apr 2025

https://github.com/jxareas/machine-learning-notebooks

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

clustering deep-learning jupyter-notebook kmeans learn linear-regression logistic-regression machine-learning machine-learning-algorithms neural-network numpy python regression reinforcement-learning reinforcement-learning-algorithms supervised-learning tensorflow unsupervised-learning

Last synced: 16 May 2025

https://github.com/fukuball/fuku-ml

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

classification decision-trees linear-regression logistic-regression machine-learning neural-network perceptron regression support-vector-machines svm

Last synced: 05 Apr 2025

https://github.com/amanovishnu/ineuron-full-stack-data-science-assignment-collection

this repository features assignments and projects from the iNeuron full stack data science course, providing valuable resources for learners to enhance their skills and apply their knowledge.

computer-vision data-science datascience deep-learning exploratory-data-analysis linear-regression machine-learning natural-language-processing python recommender-system sql statistics

Last synced: 28 Feb 2025

https://github.com/PacktWorkshops/The-Python-Workshop

A New, Interactive Approach to Learning Python

algorithms data-science gridsearchcv linear-regression logistic-regression machine-learning python pytorch random-forests randomizedsearchcv structure types

Last synced: 05 May 2025

https://github.com/packtworkshops/the-python-workshop

A New, Interactive Approach to Learning Python

algorithms data-science gridsearchcv linear-regression logistic-regression machine-learning python pytorch random-forests randomizedsearchcv structure types

Last synced: 04 Apr 2025

https://github.com/emilwallner/Deep-Learning-From-Scratch

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

backpropagation deep-learning gradient-descent least-squares linear-regression mnist perceptron

Last synced: 17 Apr 2025

https://github.com/emilwallner/deep-learning-from-scratch

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

backpropagation deep-learning gradient-descent least-squares linear-regression mnist perceptron

Last synced: 07 May 2025

https://github.com/huangcongqing/machinelearning_ng

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

ai coursera linear-regression machine-learning matlab

Last synced: 09 Apr 2025

https://github.com/arnaldog12/machine_learning

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

adaboost decision-trees feature-selection kmeans knn linear-discriminant-analysis linear-regression logistic-regression machine-learning machine-learning-algorithms multilinear-regression naive-bayes neural-network polynomial-regression principal-component-analysis python redes-neurais-artificiais regression

Last synced: 07 May 2025

https://github.com/harunurrashid97/100-Days-Of-ML-Code

A day to day plan for this challenge. Covers both theoritical and practical aspects

100-days-of-code 100daysofmlcode article data-preprocessing data-science datascience decision-tree eda exploratory-data-analysis implementation infographics linear-regression machine-learning machine-learning-algorithms python regression-algorithms siraj-raval-challenge textsummarization tutorials vizualization

Last synced: 27 Nov 2024

https://github.com/gyrdym/ml_algo

Machine learning algorithms in Dart programming language

algorithm batch-gradient-descent classifier dart dartlang data-science hyperparameters lasso-regression linear-regression logistic-regression machine-learning machine-learning-algorithms mini-batch-gradient-descent regression sgd softmax softmax-algorithm softmax-classifier softmax-regression stochastic-gradient-descent

Last synced: 06 Apr 2025

https://github.com/milaan9/deep_learning_algorithms_from_scratch

This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON

adversarial-machine-learning autoencoders cnn-classification data-science deep-learning deep-learning-matlab deep-learning-python deep-learning-pytorch image-captioning image-processing linear-regression logistic-regression neural-networks object-detection rnn-pytorch tutor-milaan9

Last synced: 09 Apr 2025

https://github.com/myazi/mylearn

machine learning algorithm

adaboost bayes cart crf dnn gmm hmm id3 kmeans-clustering knn linear-regression log logistic-regression memm rf softmax-regression svm

Last synced: 09 Feb 2025

https://github.com/Somnibyte/MLKit

A simple machine learning framework written in Swift 🤖

artificial-intelligence backpropagation feedforward-neural-network genetic-algorithm kmeans kmeans-clustering lasso-regression linear-regression machine-learning machine-learning-algorithms machine-learning-library mlkit neural-network polynomial-regression regression ridge-regression swift

Last synced: 05 May 2025

https://github.com/mrgeislinger/flatiron-school-data-science-curriculum-resources

Lesson material on data science and machine learning topics/concepts

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

Last synced: 12 May 2025

https://github.com/tatevkaren/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.

bootstrap canonical-correlation clustering data-imputation dimensionality-reduction factor-analysis-methods importance-sampling inverse-transform-method linear-regression monte-carlo-simulation pca-analysis probability-distribution python3 r regression-analysis rejection-sampling statistcal-tests

Last synced: 10 Apr 2025

https://github.com/hhhrrrttt222111/ds_and_ml_projects

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

data-science data-visualization hacktoberfest keras keras-tensorflow knn-classification linear-regression logistic-regression machine-learning machine-learning-algorithms matplotlib naive-bayes-classifier opencv python scikit-learn seaborn tensorflow

Last synced: 14 Dec 2024

https://github.com/DataForScience/DeepLearning

Deep Learning From Scratch

backpropagation deep-learning learning-algorithm linear-regression logistic-regression machine-learning mnist perceptron tutorial

Last synced: 26 Mar 2025

https://github.com/chhayac/machine-learning-notebooks

15+ Machine/Deep Learning Projects in Ipython Notebooks

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

Last synced: 02 May 2025

https://github.com/tylermorganwall/skpr

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.

design-of-experiments linear-models linear-regression monte-carlo optimal-designs power r rstats split-plot-designs survival-analysis

Last synced: 16 May 2025

https://github.com/denissimon/prediction-builder

A library for machine learning that builds predictions using a linear regression.

composer linear-regression machine-learning ml php prediction regression

Last synced: 12 Apr 2025

https://github.com/FudanMPL/SecMML

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

bgw directed-acyclic-graph linear-regression multi-party-computation neural-networks shamir-secret-sharing

Last synced: 17 Apr 2025

https://github.com/harshcasper/brihaspati

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

artificial-intelligence artificial-neural-networks computer-vision decision-tree-classifier deep-learning linear-regression logistic-regression machine-learning neural-network notebooks

Last synced: 21 Mar 2025

https://github.com/nikhil22/netflix-style-recommender

A simple movie recommendation engine

linear-regression machine-learning numpy python recommendation recommendation-engine recommender-system regression

Last synced: 21 Mar 2025

https://github.com/coding-ai/machine_learning_cpp

Machine Learning C++

algorithms cpp linear-models linear-regression linearregression linearregression-gradientdescent logistic-regression logistic-regression-algorithm machine-learning machine-learning-algorithms machinelearning machinelearning-cpp tutorials

Last synced: 28 Apr 2025

https://github.com/packtworkshops/the-data-analysis-workshop

A New Interactive Approach to Learning Data Analysis

bivariate-analysis clustering data data-analysis exploratory-data-analysis feature-engineering hypothesis-testing kolmogorov-smirnov-tests linear-regression logistic-regression pandas-profiling python univariate-analysis visual-analysis visualizations

Last synced: 16 Apr 2025

https://github.com/m-clark/models-by-example

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

algorithms bayesian cox-model expectation-maximization gaussian-processes gradient-descent hamiltonian-monte-carlo lasso linear-regression logistic-regression machine-learning maximum-likelihood-estimation mixed-models neural-network pca penalized-regression ridge-regression rkhs splines zero-inflated

Last synced: 30 Apr 2025

https://github.com/VaibhavSaini19/Crop-Yield-Prediction-using-ML

A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produced depending upon the given input

linear-regression machine-learning php python web-application

Last synced: 08 May 2025

https://github.com/mbok/elasticsearch-linear-regression

A machine learning plugin for Elasticsearch providing aggregations to compute multiple linear regression on search results in real-time for predictive analytics.

elasticsearch elasticsearch-plugin linear-regression machine-learning predictive-analytics

Last synced: 26 Mar 2025

https://github.com/kongruksiamza/machinelearning

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

deep-learning deep-neural-networks face-recognition k-means-clustering knn-classification linear-regression machine-learning naive-bayes-classifier neural-network pca python

Last synced: 06 Apr 2025

https://github.com/rshrc/sales-forecast-ml

Web app to predict sales of a new product :chart_with_upwards_trend:

clustering css django html linear-regression logistic-regression machine-learning material-design prediction python3 single-page-app sklearn

Last synced: 21 Mar 2025

https://github.com/ditectrev/amazon-web-services-certified-aws-certified-machine-learning-mls-c01-practice-tests-exams-question

⛳️ PASS: Amazon Web Services Certified (AWS Certified) Machine Learning Specialty (MLS-C01) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.

amazon-athena amazon-cloudwatch amazon-comprehend amazon-ec2 amazon-emr amazon-s3 amazon-sagemaker amazon-textract amazon-transcribe apache-spark aws aws-batch aws-certified aws-certified-machine-learning aws-glue aws-lambda linear-regression machine-learning mls-c01 neural-network

Last synced: 09 Apr 2025

https://github.com/AFAgarap/wisconsin-breast-cancer

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

binary-classification classification linear-regression logistic-regression machine-learning machine-learning-algorithms multilayer-perceptron nearest-neighbours-classifier recurrent-neural-network scikit-learn softmax-regression supervised-learning support-vector-machine tensorflow

Last synced: 20 Nov 2024

https://github.com/sgaure/lfe

Source code repository for the R package lfe on CRAN.

fixed-effects linear-regression r

Last synced: 05 Dec 2024

https://github.com/briatte/srqm

An introductory statistics course for social scientists, using Stata

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

Last synced: 02 Apr 2025

https://github.com/zeeshanahmad4/stock-prices-prediction-ml-flask-dashboard

This program predicts the price of GOOG stock for a specific day using the Machine Learning algorithm called Support Vector Regression (SVR) Linear Regression. Importing flask module in the project is mandatory An object of Flask class is our WSGI application.

classification data-mining data-science data-visualization dataset flask flask-dashboard linear-regression ml prediction prediction-algorithm prediction-model predictive-analytics python stock-analysis stock-market stock-prices stock-prices-prediction stock-trading visualization

Last synced: 07 May 2025

https://github.com/trainingbypackt/natural-language-processing-fundamentals

Use Python and NLTK to build out your own text classifiers and solve common NLP problems

api binary-classifier latent-dirichlet-allocation lda linear-regression markov-chain natural-language-processing nlp pandas python scikit-learn supervised tokenization unsupervised

Last synced: 10 Apr 2025

https://github.com/mmarouen/The-Elements-Of-Statistical-Learning

This repository contains R code for exercices and plots in the famous book.

classification exercice linear-models linear-regression statistical-learning

Last synced: 14 Mar 2025

https://github.com/lastlegion/linearReg.js

Linear regression with Gradient descent package for NPM.

javascript linear-regression machine-learning

Last synced: 13 May 2025

https://github.com/jasonmdev/learning-python-predictive-analytics

Tracking, notes and programming snippets while learning predictive analytics

dataset linear-regression logistic-regression predictive-analytics python

Last synced: 14 May 2025

https://github.com/ikizhvatov/pysca

Toolbox for advanced differential power analysis of symmetric key cryptographic algorithm implementations

cryptography-tools differential-power-analysis dpa linear-regression side-channel

Last synced: 15 May 2025

https://github.com/jbytecode/LinRegOutliers

Direct and robust methods for outlier detection in linear regression

linear-regression outliers-detection robust-statistics

Last synced: 04 May 2025

https://github.com/jbytecode/linregoutliers

Direct and robust methods for outlier detection in linear regression

linear-regression outliers-detection robust-statistics

Last synced: 09 Apr 2025

https://github.com/JasonMDev/learning-python-predictive-analytics

Tracking, notes and programming snippets while learning predictive analytics

dataset linear-regression logistic-regression predictive-analytics python

Last synced: 27 Nov 2024

https://github.com/nanxstats/hdnom

🔮 Benchmarking and visualization toolkit for penalized Cox models

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

Last synced: 06 May 2025

https://github.com/nrwade0/edX

Data Science courses in R from HarvardX

data-science harvardx inference linear-regression machine-learning r rmarkdown statistical-analysis visualization wrangling

Last synced: 04 Dec 2024

https://github.com/merliseclyde/BAS

BAS R package for Bayesian Model Averaging and Variable Selection

bayesian bayesian-inference cran generalized-linear-models linear-regression logistic-regression mcmc model-selection poisson-regression predictive-modeling r-package regression variable-selection

Last synced: 14 Mar 2025

https://github.com/paulk-asert/groovy-data-science

Some Data Science examples using Groovy

beakerx commons-math constraint-programming data-science deep-learning groovy image-recognition kmeans-clustering linear-programming linear-regression mxnet natural natural-language-processing spark

Last synced: 14 Apr 2025

https://github.com/orbxball/ml2017

2017 Spring (105-2) -- Machine Learning

cnn-keras dimensionality-reduction kaggle-competition linear-regression logistic-regression machine-learning multilabel-classification ntu recommendation recommender-system

Last synced: 18 Mar 2025

https://github.com/madonahs/machine-learning

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

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

Last synced: 02 May 2025

https://github.com/thedayisntgray/forcastingthefuture

Materials related to my talk on using machine learning in Ruby

jupyter-notebook linear-regression machine-learning rubyml

Last synced: 13 Apr 2025

https://github.com/tirthajyoti/mlr

Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features

analytics data-analytics data-science linear-regression machine-learning modeling predictive-modeling python regression scikit-learn statiscal-learning statistical-analysis statistics

Last synced: 10 Apr 2025

https://github.com/baggepinnen/totalleastsquares.jl

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

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

Last synced: 15 Mar 2025

https://github.com/vubacktracking/coursera-machine-learning-specialization

Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

andrew-ng andrew-ng-machine-learning coursera-specialization decision-trees gradient-descent linear-regression logistic-regression machine-learning neural-network python softmax-regression supervised-learning tensorflow unsupervised-learning xgboost

Last synced: 12 Apr 2025

https://github.com/vsoch/regression-wasm

Testing doing basic regression with web assembly

golang linear-regression multiple-regression wasm web-assembly

Last synced: 12 Apr 2025

https://github.com/windqaq/ml2017

NTUEE Machine Learning, 2017 Spring

dimensionality-reduction gradient-boosting-machine kaggle-competition linear-regression logistic-regression machine-learning multi-label-classification ntu recommendation-system sentiment-classification svd svdplusplus

Last synced: 26 Jun 2025

https://github.com/kortirso/elixir_learn_kit

Elixir library for machine learning

classification elixir elixir-library gaussian-naive-bayes knn-classifier linear-regression machine-learning phoenix prediction

Last synced: 10 Apr 2025

https://github.com/chen0040/js-regression

Package provides javascript implementation of linear regression and logistic regression

binary-classification javascript linear-regression linear-regression-models logistic-regression mlr nodejs

Last synced: 16 Dec 2024

https://github.com/kitestring/dataquest

Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.

dataquest gitignore jupyter-notebook k-means-clustering k-nearest-neighbours linear-regression linux logistic-regression machine-learning matplotlib pandas postgresql pydev pyspark python-3-6 seaborn sklearn sqlite3 statistics webscraping

Last synced: 14 Jun 2025

https://github.com/beegass/self-taught-machine-learning

I have had trouble in the past finding a place where I could learn about statistical learning algorithms, resources as to how to learn them and the code associated with it. This is my attempt at remedying that issue.

lecture linear-regression machine-learning statistical-learning support-vector-machine

Last synced: 30 Jan 2025

https://github.com/roatienza/ml

Foundations of Machine Learning Course Materials.

gmm linear-algebra linear-regression machine-learning optimization pca probability svm vector-calculus

Last synced: 11 Apr 2025

https://github.com/sondosaabed/paltaqdeer

🇵🇸 PalTaqdeer is an AI-Driven Student Success Forecaster. Was developed for Hackathon Google Launchpad, data analysis techniques, Linear regression model, and Flask for the web 🇵🇸

data-analysis hackathon hackathon-project linear-regression matplotlib outliers-detection pandas python student-grades