lasso-regression

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je-suis-tm /machine-learning

Star260

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

naive-bayes expectation-maximization support-vector-machine ridge-regression expectation-maximization-algorithm factor-analysis dbscan em-algorithm linear-discriminant-analysis stochastic-gradient-descent latent-semantic-analysis lasso-regression multinomial-naive-bayes singular-value-decomposition batch-gradient-descent sequential-minimal-optimization newton-method low-rank-approximation independent-component-analysis k-nearest-neighbors

UpdatedDec 16, 2022
Jupyter Notebook

gyrdym /ml_algo

Sponsor

Star197

Machine learning algorithms in Dart programming language

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

UpdatedJul 7, 2025
Dart

MBKraus /Predicting_real_estate_prices_using_scikit-learn

Star172

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

real-estate python machine-learning neural-network random-forest lasso xgboost polynomial ensemble-learning ols decision-trees ridge-regression polynomial-regression knn multi-layer-perceptron amsterdam predicting-housing-prices lasso-regression mlp-regressor knn-regression

UpdatedApr 9, 2019
Python

bhushan23 /ADMM

Star158

Implemented ADMM for solving convex optimization problems such as Lasso, Ridge regression

pytorch ridge-regression admm convex-optimization lasso-regression

UpdatedDec 15, 2021
Jupyter Notebook

Somnibyte /MLKit

Star152

A simple machine learning framework written in Swift 🤖

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

UpdatedAug 28, 2018
Swift

Mayurji /MLWithPytorch

Star130

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

machine-learning linear-regression machine-learning-algorithms python3 pytorch naive-bayes-classifier pca-analysis gaussian-mixture-models logistic-regression decision-trees ridge-regression naive-bayes-algorithm kmeans-clustering svm-classifier lasso-regression knn-classification pytorch-implementation tfidf-vectorizer adaboost-algorithm

UpdatedNov 19, 2025
Python

JuliaAI /MLJLinearModels.jl

Star83

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

julia-language logistic-regression ridge-regression regression-models sparse-regression elastic-net lasso-regression multinomial-regression regressions robust-regression mlj

UpdatedMay 31, 2025
Julia

englianhu /binary.com-interview-question

Star69

次元期权应征面试题范例。 #易经 #道家 #十二生肖 #姓氏堂号子嗣贞节牌坊 #天文历法 #张灯结彩 #农历 #夜观星象 #廿四节气 #算卜 #紫微斗数 #十二时辰 #生辰八字 #命运 #风水《始祖赢政之子赢家黄氏江夏堂联富•秦谏——大秦赋》万般皆下品，唯有读书高。🚩🇨🇳🏹🦔中科红旗，歼灭所有世袭制可兰经法家回教徒巫贼巫婆、洋番、峇峇娘惹。https://gitee.com/englianhu

statistics dao betting bayesian investment arima ridge-regression mcmc acd garch elastic-net ets lasso-regression investment-strategies kelly-criterion investment-portfolio markowitz-portfolio qinren daojiao qinrenmuma

UpdatedApr 20, 2025
HTML

statistical-python /yaglm

Star58

A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

machine-learning statistics optimization-algorithms generalized-linear-models penalized-regression lasso-regression tuning-algorithm

UpdatedFeb 2, 2023
Python

hiroyuki-kasai /SparseGDLibrary

Star55

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

machine-learning big-data algorithms optimization machine-learning-algorithms solver lasso logistic-regression gradient-descent support-vector-machines admm proximal-algorithms proximal-operators sparse-regression optimization-algorithms matrix-completion elasticnet lasso-regression coordinate-descent sparse-linear-solver

UpdatedNov 20, 2018
MATLAB

ncn-foreigners /nonprobsvy

Star52

An R package for modern methods for non-probability samples

r survey propensity-scores lasso-regression inverse-probability-weights nonprobability-sampling

UpdatedNov 4, 2025
R

tlverse /hal9001

Star49

🤠 📿 The Highly Adaptive Lasso

machine-learning-algorithms cross-validation nonparametric-regression lasso-regression

UpdatedNov 19, 2024
R

SravB /Computer-Vision-Weightlifting-Coach

Star47

Analyzes weightlifting videos for correct posture using pose estimation with OpenCV

opencv machine-learning computer-vision random-forest ensemble-learning logistic-regression ridge-regression mpii-dataset weightlifting pose-estimation elastic-net lasso-regression openpose keypoint-detection

UpdatedMay 19, 2019
Jupyter Notebook

faizanxmulla /CS2007-machine-learning-techniques

Star43

Repository containing introduction to the main methods and models used in machine learning problems of regression, classification and clustering.

neural-network random-forest clustering regression naive-bayes-classifier classification perceptron decision-trees ridge-regression knn lasso-regression least-square-regression iitmadrasonlinedegree

UpdatedSep 30, 2023
Jupyter Notebook

SebastianRokholt /Hybrid-Recommender-System

Star41

A repository for a machine learning project about developing a hybrid movie recommender system.

python data-science machine-learning movies collaborative-filtering randomforest matplotlib recommender-system regression-models movielens k-nearest-neighbours lasso-regression hybrid-recommender-system movies-recommendation content-based-filtering

UpdatedNov 3, 2021
Jupyter Notebook

shubhpawar /Automated-Essay-Scoring

Star32

Automated Essay Scoring on The Hewlett Foundation dataset on Kaggle

machine-learning natural-language-processing linear-regression sklearn nltk ensemble-learning text-processing text-analytics ridge-regression cohens-kappa text-regression lasso-regression support-vector-regression gradient-boosting-regressor automatic-essay-scoring

UpdatedApr 26, 2018
Jupyter Notebook

Yunhui-Gao /ISTA

Star32

Iterative shrinkage / thresholding algorithms (ISTAs) for linear inverse problems

matlab proximal-algorithms image-denoising lasso-regression proximal-gradient-method

UpdatedMay 24, 2024
MATLAB

D2KLab /twitpersonality

Star30

TwitPersonality: Computing Personality Traits from Tweets using Word Embeddings and Supervised Learning

python natural-language-processing twitter svm regression tweepy personality-traits lasso-regression wordembeddings big5

UpdatedJan 31, 2019
Python

NikhilaThota /CapstoneProject_House_Prices_Prediction

Star27

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and s…

python machine-learning correlation linear-regression cross-validation data-visualization data-extraction data-analysis regularization standardization datawrangling predictive-modeling ridge-regression data-exploration k-fold lasso-regression encoding-library parameter-tuning root-mean-squared-error-metric regression-analysis

UpdatedJan 19, 2018
Jupyter Notebook

Nemshan /predicting-Paid-amount-for-Claims-Data

Star25

Introduction The context is the 2016 public use NH medical claims files obtained from NH CHIS (Comprehensive Health Care Information System). The dataset contains Commercial Insurance claims, and a small fraction of Medicaid and Medicare payments for dually eligible people. The primary purpose of this assignment is to test machine learning (ML) …

python random-forest earth predictive-modeling ridge-regression lasso-regression

UpdatedJan 17, 2019
Jupyter Notebook

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