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/rasbt/python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

data-mining data-science logistic-regression machine-learning machine-learning-algorithms neural-network python scikit-learn

Last synced: 14 May 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/boltzmannentropy/interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial

Last synced: 15 May 2025

https://github.com/BoltzmannEntropy/interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial

Last synced: 27 Mar 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/kk7nc/Text_Classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 07 Apr 2025

https://github.com/kk7nc/text_classification

Text Classification Algorithms: A Survey

boosting-algorithms conditional-random-fields convolutional-neural-networks decision-trees deep-belief-network deep-learning deep-neural-network dimensionality-reduction document-classification hierarchical-attention-networks k-nearest-neighbours logistic-regression naive-bayes-classifier nlp-machine-learning random-forest recurrent-neural-networks rocchio-algorithm support-vector-machines text-classification text-processing

Last synced: 14 May 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/nsoojin/coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

andrew-ng-course andrew-ng-machine-learning andrew-ng-ml-course anomaly-detection coursera-machine-learning logistic-regression machine-learning-ex1 neural-network numpy-exercises principal-component-analysis python-ml support-vector-machines

Last synced: 16 May 2025

https://github.com/ibrahimjelliti/Deeplearning.ai-Natural-Language-Processing-Specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

attention-mechanism coursera deep-learning deeplearning-ai encoder-decoder logistic-regression machine-learning naive-bayes neural neural-networks nlp probabilistic-models sequence-models specialization

Last synced: 26 Nov 2024

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/hollance/tensorflow-ios-example

Source code for my blog post "Getting started with TensorFlow on iOS"

ios logistic-regression machine-learning metal tensorflow voice-recognition

Last synced: 07 Apr 2025

https://github.com/hollance/TensorFlow-iOS-Example

Source code for my blog post "Getting started with TensorFlow on iOS"

ios logistic-regression machine-learning metal tensorflow voice-recognition

Last synced: 09 May 2025

https://github.com/skylark0924/machine-learning-is-all-you-need

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

actor-critic convolutional-neural-networks ddpg decision-trees deep-reinforcement-learning dqn gan k-nearest-neighbours keras logistic-regression lstm naive-bayes-classifier ppo pytorch qlearning random-forest resnet support-vector-machine tensorflow trpo

Last synced: 05 Apr 2025

https://github.com/andreiapostoae/dota2-predictor

Tool that predicts the outcome of a Dota 2 game using Machine Learning

dota dota2 gaming logistic-regression machine-learning neural-network prediction

Last synced: 27 Nov 2024

https://github.com/kanyun-inc/ytk-learn

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

distributed factorization-machines gbdt gbm hadoop logistic-regression machine-learning spark

Last synced: 06 Apr 2025

https://github.com/primaryobjects/voice-gender

Gender recognition by voice and speech analysis

acoustic-properties ai artificial-intelligence data-science gender gender-recognition logistic-regression machine-learning neural-network signal speech vocal voice

Last synced: 06 Apr 2025

https://github.com/bwaldvogel/liblinear-java

Java version of LIBLINEAR

java liblinear logistic-regression svm

Last synced: 15 May 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/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/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/luopeixiang/textclf

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

bert cnn-text-classification configurable document-classification dpcnn drnn glove logistic-regression lstm-text-classification neuralclassifier pytorch sentiment-analysis sklearn-classify svm textcnn textrnn word2vec

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/nlp-kr/tensorflow-ml-nlp

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

chatbot dssm konlpy korean-nlp korean-text-processing korean-tokenizer logistic-regression malstm nlp nltk numpy pandas random-forest sentiment-classification seq2seq similarity sklearn tensorflow transformer xgboost

Last synced: 13 May 2025

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/mkearney/tidyversity

🎓 Tidy tools for academics

academic analysis general-linear-model latent-variables linear-models logistic-regression mkearney-r-package negative-binomial-regression poisson-regression r regression research robust-regression rstats science statistics structural-equation-modeling tidy tidyverse tidyversity

Last synced: 12 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/dominance-analysis/dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

classification-model dominance dominance-analysis dominance-statistics feature-engineering feature-importance feature-selection keydrivers logistic-regression multiple-regression predictor predictor-importance pseudo-r-square r-square regression-models relative-importance shapley-value

Last synced: 01 May 2025

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/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/outbrain-inc/fwumious_wabbit

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

data-stream-mining deep-learning factorization-machines incremental-learning logistic-regression machine-learning online-learning rust

Last synced: 17 Dec 2024

https://github.com/anmol-singh-jaggi/sign-language-recognition

:v: :ok_hand: :fist: :camera: Sign Language Recognition using Python

image-processing logistic-regression machine-learning nearest-neighbor opencv python sign-language support-vector-machine

Last synced: 14 Apr 2025

https://github.com/Anmol-Singh-Jaggi/Sign-Language-Recognition

:v: :ok_hand: :fist: :camera: Sign Language Recognition using Python

image-processing logistic-regression machine-learning nearest-neighbor opencv python sign-language support-vector-machine

Last synced: 09 May 2025

https://github.com/jakekandell/nba-predict

Predicts Daily NBA Games Using a Logistic Regression Model

data-science logistic-regression model nba nba-analytics nba-prediction nba-stats pandas prediction predictive-modeling python python3 scikit-learn

Last synced: 10 Apr 2025

https://github.com/chayandatta/heart_disease_prediction

Heart Disease prediction using 5 algorithms

clustering data-mining dicision-tree disease-prediction heart-disease heart-disease-predictor k-nearest-neighbours logistic-regression machine-learning machine-learning-algorithms machinelearning naive-bayes python3 random-forest supervised-learning

Last synced: 05 Apr 2025

https://github.com/dsgiitr/visualml

Interactive Visual Machine Learning Demos.

autoencoder deep-learning logistic-regression machine-learning mlp-classifier pca style-transfer svm tensorflow-js vanishing-gradient visualizations

Last synced: 15 Apr 2025

https://github.com/ing-bank/skorecard

scikit-learn compatible tools for building credit risk acceptance models

credit-risk creditrisk logistic-regression machine-learning scikit-learn scorecard scorecard-model scorecards

Last synced: 13 Apr 2025

https://github.com/zlxy9892/ml_code

A repository for recording the machine learning code

apriori artificial-intelligence bayesian clustering cv decision-tree deep-learning k-means keras knn logistic-regression machine-learning mnist neural-network nlp pca scikit-learn sklearn svd tensorflow

Last synced: 09 Feb 2025

https://github.com/parths007/loan-approval-prediction

Loan Application Data Analysis

accuracy-analysis classification data-analysis data-mining data-science data-visualization juypter logistic-regression machine-learning notebook-jupyter python python3

Last synced: 17 Mar 2025

https://github.com/juliaai/mljlinearmodels.jl

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

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

Last synced: 13 Feb 2025

https://github.com/JuliaAI/MLJLinearModels.jl

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

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

Last synced: 04 May 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/akshaybahadur21/BreastCancer_Classification

Machine learning classifier for cancer tissues 🔬

breast-cancer breast-cancer-prediction breast-cancer-wisconsin dataset-uci logistic-regression machine-learning python

Last synced: 20 Nov 2024

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/yell/mnist-challenge

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

data-augmentation deep-learning deep-neural-networks gaussian-processes k-nn kernel logistic-regression machine-learning mnist neural-network pca python rbm

Last synced: 30 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/dayyass/text-classification-baseline

Pipeline for fast building text classification TF-IDF + LogReg baselines.

baseline classification data-science fast hacktoberfest logistic-regression machine-learning natural-language-processing nlp python text text-classification tf-idf

Last synced: 13 Apr 2025

https://github.com/harismuneer/handwritten-digits-classification-using-knn-multiclass_perceptron-svm

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

accuracy-analysis artificial-neural-network comparative-study delta-rule efficiency-analysis handwritten-digit-recognition k-nearest-neighbours knn learning-algorithms-comparison logistic-regression machine-learning-algorithms mnist-classification-logistic mnist-dataset multiclass-perceptron perceptron-learning-algorithm sigmoid-function supervised-machine-learning support-vector-classifier support-vector-machines svm

Last synced: 09 Apr 2025

https://github.com/osspk/handwritten-digits-classification-using-knn-multiclass_perceptron-svm

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

accuracy-analysis artificial-neural-network comparative-study delta-rule efficiency-analysis handwritten-digit-recognition k-nearest-neighbours knn learning-algorithms-comparison logistic-regression machine-learning-algorithms mnist-classification-logistic mnist-dataset multiclass-perceptron perceptron-learning-algorithm sigmoid-function supervised-machine-learning support-vector-classifier support-vector-machines svm

Last synced: 24 Nov 2024

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/thomasnield/kotlin-machine-learning-demos

Demonstration of several machine learning algorithms in Kotlin

deep-learning kotlin logistic-regression machine-learing-algorithms machine-learning

Last synced: 27 Mar 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/kapilsinghnegi/fake-news-detection

This project detects whether a news is fake or not using machine learning.

decision-tree-classifier fakenewsdetection gradient-boosting-classifier logistic-regression machine-learning python random-forest-classifier scikit-learn sklearn

Last synced: 06 Apr 2025

https://github.com/packtworkshops/the-deep-learning-with-keras-workshop

An Interactive Approach to Understanding Deep Learning with Keras

artificial-neural-networks classification cross-validation decision-trees hyperparameter-tuning k-means-clustering keras linear-transformation logistic-regression machine-learning magnetic-resonance-imaging model-evaluation model-tuning regression regularization scalars scikit-learn support-vector-machine tensorflow vectors

Last synced: 15 Apr 2025

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/dselivanov/ftrl

R/Rcpp implementation of the 'Follow-the-Regularized-Leader' algorithm

ftrl logistic-regression machine-learning r sgd

Last synced: 14 Apr 2025

https://github.com/en10/cifar

CIFAR 10 image dataset

cifar cifar-10 cifar10 gradient-descent logistic-regression sigmoid

Last synced: 19 Dec 2024

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/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/sravb/computer-vision-weightlifting-coach

Analyzes weightlifting videos for correct posture using pose estimation with OpenCV

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

Last synced: 07 May 2025

https://github.com/nsoojin/coursera-ml-py-sj

andrew-ng-course andrew-ng-machine-learning andrew-ng-ml-course anomaly-detection coursera-machine-learning kmeans-clustering logistic-regression machine-learning-exercises neural-network numpy-exercises support-vector-machine

Last synced: 30 Apr 2025

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/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/microsoft/augmented-interpretable-models

Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.

ai artificial-intelligence deep-learning distillation embedding explainability huggingface interpretability language-model large-language-models linear linear-models logistic-regression machine-learning ml neural-network scikit-learn sentiment-classification transformer transparent

Last synced: 04 Feb 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/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: 23 Mar 2025

https://github.com/rubixml/credit

An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.

analytics classification credit-card cross-validation data-science dataset example-project logistic-regression machine-learning machine-learning-tutorial manifold-learning monte-carlo-simulation php php-machine-learning php-ml pipeline risk-assessment rubix-ml t-sne tutorial

Last synced: 04 Dec 2024

https://github.com/byte7/heart-disease-analysis-and-prediction

Heart Disease Analysis repository

heart-disease logistic-regression machine-learning uci-machine-learning

Last synced: 14 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/ncar/gard

Generalized Analog Regression Downscaling (GARD) code

analog climate downscaling logistic-regression regression

Last synced: 08 Mar 2025

https://github.com/srohit0/mida

Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks design-automation electronic-design-automation feedforward-neural-network logistic-regression machine-intelligence machine-learning machine-learning-algorithms neural-network polynomial-regression vlsi vlsi-circuits vlsi-deep-learning vlsi-design vlsi-machine-learning

Last synced: 17 Jun 2025

https://github.com/mmbazel/classifying-sales-calls

Turning salesforce lead, oppty, & sales activities data => Sales predictions using pandas, Scikit-learn, SQLAlchemy, Redshift, XGBoost Classifier

capstone classification classifying-sales-calls data-science data-science-notebook data-science-portfolio data-science-projects data-visualization gradient-boosting logistic-regression machine-learning saas sales springboard springboard-career-track springboard-data-science springboard-projects

Last synced: 12 May 2025

https://github.com/jxareas/ml-zoomcamp-2022

Solutions for the Machine Learning Zoomcamp 2022 by DataTalks.Club.

classification deepnote exploratory-data-analysis linear-regression logistic-regression machine-learning numpy pandas python r regression regularization rmarkdown streamlit

Last synced: 16 May 2025

https://github.com/snigdho8869/multiclass-text-classification

Natural Language Processing for Multiclass Classification: A repository containing NLP techniques for multiclass classification of text data.

adaboost-classifier bert-fine-tuning cnn-model deep-learning ensemble-learning flask flask-application gradient-boosting-classifier gru keras-tensorflow logistic-regression machine-learning natural-language-processing neural-network nlp random-forest-classifier rnn-lstm support-vector-machines text-classification xlnet-fine-tuning

Last synced: 13 Jun 2025

https://github.com/aromanro/machinelearning

From linear regression towards neural networks...

adagrad adam-optimizer backpropagation data-analysis data-science generalized-linear-models gradient-descent linear-regression logistic-regression machine-learning machine-learning-algorithms multilayer-perceptron-network nadam nesterov-accelerated-sgd nesterov-momentum neural-network rmsprop

Last synced: 16 Mar 2025

https://github.com/mahmoudparsian/machine-learning-course

Machine Learning Course @ Santa Clara University

clustering data-algorithms kmeans-clustering linear-regression logistic-regression machine-learning pyspark pyspark-algorithms-book santa-clara-university scikit-learn spark spark-ml supervised-learning unsupervised-learning

Last synced: 23 Jun 2025

https://github.com/kts-o7/aiml-lab

Contains 5th Semester AIML Lab programs

a-star-algorithm ai alphabeta-pruning hillclimbingalgorithm kmeans-clustering knn-classification logistic-regression ml naivebayesclassifier sklearn tic-tac-toe

Last synced: 23 Apr 2025

https://github.com/mubaris/tensorflow-101

:racehorse: Introduction to TensorFlow :snowflake:

101 ai hello-world logistic-regression machine-learning python tensorflow

Last synced: 08 Apr 2025

https://github.com/dpressel/sgdtk

A Java library for Stochastic Gradient Descent (SGD)

crf java logistic-regression sgd svm

Last synced: 23 Mar 2025

https://github.com/ewenwan/learn_tensorflow

学习 TensorFLow 线性&逻辑回归 多层感知机 神经网络 自编码 循环神经网络 优化记录

convolutional-neural-networks linear-regression logistic-regression long-short-term-memory-models tensorboard tensorflow

Last synced: 19 Jun 2025

https://github.com/adityashrm21/deep-learning-algorithms-implementation

Implementations of (Deep Learning + Machine Learning) Algorithms

algorithm decision-tree decision-trees deep-learning deep-learning-algorithms implementation implementation-of-algorithms jupyter-notebook keras linear-regression logistic-regression machine-learning multilayer-perceptron neural-networks pytorch restricted-boltzmann-machine tensorflow

Last synced: 29 Apr 2025

https://github.com/casperkristiansson/elements-of-ai-building-ai

All exercises for the course Elements of AI - Building AI

bayes-classifier bayes-rule building-ai deep-learning elements-of-ai hill-climbing linear-regression linear-regression-models logistic-regression machine-learning naive-bayes naive-bayes-algorithm naive-bayes-classifier nearest-neighbor-search neural-networks overfitting probability-fundamentals

Last synced: 12 Apr 2025

https://github.com/kennethleungty/logistic-regression-assumptions

Assumptions of Logistic Regression, Clearly Explained

logistic-regression logistic-regression-algorithm logistic-regression-assumptions logistic-regression-classifier logistic-regression-implementation logistic-regression-models python statistics

Last synced: 22 Nov 2024

https://github.com/yashksaini-coder/multivariate-logistic-regression---telecom-churn

Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.

logistic-regression machine-learning multivariate-regression supervised-learning supervised-machine-learning

Last synced: 11 Apr 2025

https://github.com/dhruvesh13/audio-genre-classification

Automatic music genre classification using Machine Learning algorithms like- Logistic Regression and K-Nearest Neighbours

audio-gene logistic-regression machine-learning mfcc python-2

Last synced: 26 Jan 2025

https://github.com/shaadclt/multiple-disease-prediction-system

The Multiple Disease Prediction project aims to create a user-friendly web application that allows users to input relevant medical information and receive predictions for different diseases.

logistic-regression support-vector-machine

Last synced: 10 Apr 2025

https://github.com/cloudera/cml_amp_churn_prediction

Build an scikit-learn model to predict churn using customer telco data.

churn-prediction explainability interpretability lime logistic-regression

Last synced: 13 Apr 2025

https://github.com/ruban2205/iris_classification

This repository contains the Iris Classification Machine Learning Project. Which is a comprehensive exploration of machine learning techniques applied to the classification of iris flowers into different species based on their physical characteristics.

iris-classification iris-dataset k-nearest-neighbor-classifier logistic-regression logistic-regression-algorithm machine-learning navie-bayes-algorithm support-vector-classifier

Last synced: 21 Nov 2024

https://github.com/anishlearnstocode/ml-stanford

Machine Learning Course by Stanford on Coursera (Andrew Ng)

andrew-ng classification coursera logistic-regression machine-learning ml regression stanford

Last synced: 10 Apr 2025