logistic-regression

There are 39 repositories under logistic-regression topic.

Avik-Jain / 100-Days-Of-ML-Code
100 Days of ML Coding
machine-learning machine-learning-algorithms infographics tutorial siraj-raval-challenge siraj-raval implementation 100-days-of-code-log 100daysofcode python logistic-regression naive-bayes-classifier linear-regression svm linear-algebra scikit-learn support-vector-machines deep-learning
48193
rasbt / python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
machine-learning machine-learning-algorithms logistic-regression data-science data-mining python scikit-learn neural-network
Language:Jupyter Notebook 12500
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 deep-learning linear-regression logistic-regression machine-learning python solutions supervised-machine-learning unsupervised-machine-learning tensorflow recommendation-system unsupervised-learning decision-trees neural-network mooc
Language:Jupyter Notebook 5995
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.
data-science machine-learning deep-learning interview-preparation jobs artificial-intelligence pytorch-tutorial graduate-school pytorch python jax autograd information-theory bayesian-statistics convolutional-neural-networks ensemble-learning feature-extraction logistic-regression loss-functions
4693
BinRoot / TensorFlow-Book
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
tensorflow machine-learning regression convolutional-neural-networks logistic-regression book reinforcement-learning autoencoder linear-regression classification clustering
Language:Jupyter Notebook 4447
susanli2016 / Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
linear-regression polynomial-regression logistic-regression decision-trees random-forest svm svr knn-classification naive-bayes-classifier kmeans-clustering hierarchical-clustering pca lda xgboost-algorithm
Language:Jupyter Notebook 4412
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
Language:Jupyter Notebook 4371
kk7nc / Text_Classification
Text Classification Algorithms: A Survey
text-classification nlp-machine-learning document-classification text-processing dimensionality-reduction rocchio-algorithm boosting-algorithms logistic-regression naive-bayes-classifier k-nearest-neighbours support-vector-machines decision-trees random-forest conditional-random-fields deep-learning deep-neural-network recurrent-neural-networks convolutional-neural-networks deep-belief-network hierarchical-attention-networks
Language:Python 1820
awesome-fraud-detection-papers
benedekrozemberczki / awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
fraud-detection fraud-prevention fraud-checker fraud-management fraud-explorer classification data-science churn credit-scoring deep-learning random-forest gradient-boosting data-mining link-prediction graph-classification classifier logistic-regression credit-card-fraud credit-card-validation credit-card-fraud-detection
Language:Python 1734
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
Language:Jupyter Notebook 1616
nsoojin / coursera-ml-py
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
andrew-ng-course andrew-ng-ml-course coursera-machine-learning andrew-ng-machine-learning numpy-exercises machine-learning-ex1 neural-network support-vector-machines principal-component-analysis logistic-regression anomaly-detection python-ml
Language:Python 1413
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
machine-learning deep-learning nlp coursera deeplearning-ai specialization neural neural-networks logistic-regression naive-bayes probabilistic-models sequence-models attention-mechanism encoder-decoder
Language:Jupyter Notebook 734
nishitpatel01 / Fake_News_Detection
Fake News Detection in Python
classification fake-news fakenewsdetection logistic-regression python svm-classifier text-analysis text-classification text-mining
Language:Jupyter Notebook 580
abess
abess-team / abess
Fast Best-Subset Selection Library
polynomial-algorithm high-dimensional-data best-subset-selection machine-learning python r scikit-learn principal-component-analysis linear-regression classification-algorithm cox-regression logistic-regression multitask-learning ordinal-regression poisson-regression robust-principal-component-analysis sparse-principal-component-analysis feature-selection sure-independence-screening
Language:C++ 482
hollance / TensorFlow-iOS-Example
Source code for my blog post "Getting started with TensorFlow on iOS"
tensorflow metal ios machine-learning logistic-regression voice-recognition
Language:Swift 440
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!
deep-reinforcement-learning keras pytorch tensorflow convolutional-neural-networks lstm dqn ddpg actor-critic ppo trpo qlearning logistic-regression support-vector-machine k-nearest-neighbours naive-bayes-classifier decision-trees random-forest gan resnet
Language:Python 409
zhengyima / mnist-classification
Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）
python3 pytorch scikit-learn cnn knn mlp rnn svm logistic-regression mnist machine-learning mnist-classification deep-learning
Language:Python 407
srafay / Machine_Learning_A-Z
Learning to create Machine Learning Algorithms
datascience dataprocessing machine-learning-algorithms machine-learning-az simple-linear-regression multiple-regression polynomial-regression support-vector-regression decision-tree-regression random-forest-regressor classification-algorithims logistic-regression k-nearest-neighbors support-vector-machine kernel-svm naive-bayes-classifier decision-tree-classifier random-forest-classifier k-means-clustering k-means-implementation-in-python
Language:Python 386
tsuirak / deeplearning.ai
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。
machine-learning deep-learning natural-language tensorflow2 keras-tensorflow coursera andrew-ng logistic-regression naive-bayes svm-classifier linear-regression k-means keras
Language:Jupyter Notebook 368
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
Language:Python 367
jayshah19949596 / Machine-Learning-Models
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
machine-learning-algorithms naive-bayes-classifier decision-trees random-forest dynamic-time-warping gaussian-mixture-models em-algorithm logistic-regression linear-regression principal-component-analysis singular-value-decomposition gaussian-classifier knn knn-classification kmeans-clustering kmeans kmeans-algorithm supervised-learning value-iteration-algorithm neural-network
Language:MATLAB 362
primaryobjects / voice-gender
Gender recognition by voice and speech analysis
gender-recognition gender machine-learning data-science artificial-intelligence neural-network logistic-regression vocal voice speech acoustic-properties signal ai
Language:R 359
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).
machine-learning distributed gbm gbdt logistic-regression factorization-machines spark hadoop
Language:Java 351
a-martyn / ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
machine-learning statistical-learning islr supervised-learning linear-regression logistic-regression random-forest boosting-algorithms bootstrap bagging pca lda
Language:Jupyter Notebook 325
bwaldvogel / liblinear-java
Java version of LIBLINEAR
java liblinear logistic-regression svm
Language:Java 305
GavinHacker / recsys_core
[推荐系统] Based on the scoring data set, the recommendation system is built with FM and LR as the core(基于评分数据集，构建以FM和LR为核心的推荐系统).
libfm logistic-regression machine-learning recommendation-system
Language:Jupyter Notebook 303
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
Language:Jupyter Notebook 294
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
Language:Jupyter Notebook 290
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
Language:Python 282
PacktWorkshops / The-Python-Workshop
A New, Interactive Approach to Learning Python
python machine-learning types structure algorithms data-science pytorch gridsearchcv randomizedsearchcv linear-regression logistic-regression random-forests
Language:Jupyter Notebook 264
mandeep147 / Amazon-Product-Recommender-System
Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
logistic-regression lstm naive-bayes python recommender-system sentiment-analysis
Language:Jupyter Notebook 244
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。
sentiment-analysis document-classification svm logistic-regression cnn-text-classification lstm-text-classification sklearn-classify pytorch textcnn textrnn dpcnn drnn bert neuralclassifier configurable word2vec glove
Language:Python 239
georgymh / ml-fraud-detection
Credit card fraud detection through logistic regression, k-means, and deep learning.
machine-learning python kaggle logistic-regression deep-neural-networks k-means
Language:Jupyter Notebook 234
sarnthil / unify-emotion-datasets
A Survey and Experiments on Annotated Corpora for Emotion Classification in Text
aggregation datasets emotion-analysis emotion-classification emotion-recognition logistic-regression nlp
Language:Python 231
hiroyuki-kasai / SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
big-data classification gradient gradient-descent-algorithm linear-regression logistic-regression machine-learning machine-learning-algorithms matlab newtons-method online-learning optimization optimization-algorithms quasi-newton sgd softmax-classification stochastic-gradient-descent stochastic-optimization-algorithms svrg variance-reduction
Language:MATLAB 226
arnaldog12 / Machine_Learning
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
machine-learning machine-learning-algorithms adaboost decision-trees kmeans knn linear-discriminant-analysis principal-component-analysis naive-bayes regression linear-regression neural-network redes-neurais-artificiais multilinear-regression polynomial-regression python feature-selection logistic-regression
Language:Jupyter Notebook 221

logistic-regression

Avik-Jain / 100-Days-Of-ML-Code

rasbt / python-machine-learning-book

greyhatguy007 / Machine-Learning-Specialization-Coursera

BoltzmannEntropy / interviews.ai

BinRoot / TensorFlow-Book

susanli2016 / Machine-Learning-with-Python

zotroneneis / machine_learning_basics

kk7nc / Text_Classification

benedekrozemberczki / awesome-fraud-detection-papers

justmarkham / DAT8

nsoojin / coursera-ml-py

ibrahimjelliti / Deeplearning.ai-Natural-Language-Processing-Specialization

nishitpatel01 / Fake_News_Detection

abess-team / abess

hollance / TensorFlow-iOS-Example

Skylark0924 / Machine-Learning-is-ALL-You-Need

zhengyima / mnist-classification

srafay / Machine_Learning_A-Z

tsuirak / deeplearning.ai

andreiapostoae / dota2-predictor

jayshah19949596 / Machine-Learning-Models

primaryobjects / voice-gender

kanyun-inc / ytk-learn

a-martyn / ISL-python

bwaldvogel / liblinear-java

GavinHacker / recsys_core

Suji04 / ML_from_Scratch

jxareas / Machine-Learning-Notebooks

fukuball / fuku-ml

PacktWorkshops / The-Python-Workshop

mandeep147 / Amazon-Product-Recommender-System

luopeixiang / textclf

georgymh / ml-fraud-detection

sarnthil / unify-emotion-datasets

hiroyuki-kasai / SGDLibrary

arnaldog12 / Machine_Learning