COLLECTED BY

Organization: Archive Team

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: Archive Team: URLs

TIMESTAMPS

The Wayback Machine - https://web.archive.org/web/20220709025034/https://github.com/topics/logistic-regression

#

logistic-regression

Here are 5,167 public repositories matching this topic...

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

100 Days of ML Coding

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

Updated Feb 28, 2022

rasbt / python-machine-learning-book

Sponsor

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

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

Updated Jul 30, 2021
Jupyter Notebook

BinRoot / TensorFlow-Book

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

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

Updated Dec 14, 2019
Jupyter Notebook

zotroneneis / machine_learning_basics

Plain python implementations of basic machine learning algorithms

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

Updated Dec 3, 2021
Jupyter Notebook

susanli2016 / Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

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

Updated Jun 21, 2022
Jupyter Notebook

BoltzmannEntropy / interviews.ai

Open

Display Issues

1

hu-po commented Jan 6, 2022

Love the book! Ran into this display issue when viewing it on Chrome's PDF viewer:

Read more

good first issue Formatting issues LaTeX issue

kk7nc / Text_Classification

Text Classification Algorithms: A Survey

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

Updated Mar 9, 2022
Python

justmarkham / DAT8

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

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

Updated Apr 18, 2016
Jupyter Notebook

nsoojin / coursera-ml-py

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

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

Updated Sep 2, 2020
Python

awesome-fraud-detection-papers

benedekrozemberczki / awesome-fraud-detection-papers

Sponsor

A curated list of data mining papers about fraud detection.

classifier data-science data-mining deep-learning random-forest credit-card-fraud classification fraud-management logistic-regression fraud-prevention credit-scoring churn link-prediction fraud-detection gradient-boosting fraud-checker graph-classification credit-card-validation credit-card-fraud-detection fraud-explorer

Updated Jun 14, 2022
Python

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

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

Updated Jun 28, 2021
Jupyter Notebook

hollance / TensorFlow-iOS-Example

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

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

Updated Mar 6, 2017
Swift

yuantiku / 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 spark hadoop distributed gbdt gbm logistic-regression factorization-machines

Updated Jul 6, 2022
Java

andreiapostoae / dota2-predictor

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

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

Updated Jul 6, 2022
Python

bwaldvogel / liblinear-java

Java version of LIBLINEAR

java svm logistic-regression liblinear

Updated May 22, 2022
Java

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 naive-bayes natural-language linear-regression keras coursera logistic-regression k-means svm-classifier andrew-ng keras-tensorflow tensorflow2

Updated Jan 26, 2021
Jupyter Notebook

GavinHacker / recsys_core

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

machine-learning recommendation-system logistic-regression libfm

Updated Dec 30, 2021
Jupyter Notebook

fukuball / fuku-ml

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

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

Updated Jun 21, 2022
Python

primaryobjects / voice-gender

Gender recognition by voice and speech analysis

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

Updated Mar 29, 2022
R

nishitpatel01 / Fake_News_Detection

Fake News Detection in Python

python text-mining text-classification text-analysis classification logistic-regression fake-news svm-classifier fakenewsdetection

Updated Jan 31, 2022
Jupyter Notebook

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!

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

Updated Apr 24, 2022
Python

PacktWorkshops / The-Python-Workshop

A New, Interactive Approach to Learning Python

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

Updated Jun 22, 2022
Jupyter Notebook

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）

machine-learning deep-learning svm scikit-learn cnn python3 pytorch mnist rnn mnist-classification logistic-regression mlp knn

Updated Oct 16, 2020
Python

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

neural-network random-forest linear-regression machine-learning-algorithms naive-bayes-classifier supervised-learning gaussian-mixture-models logistic-regression kmeans decision-trees knn principal-component-analysis dynamic-time-warping kmeans-clustering em-algorithm kmeans-algorithm singular-value-decomposition knn-classification gaussian-classifier value-iteration-algorithm

Updated May 15, 2017
MATLAB

sarnthil / unify-emotion-datasets

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

nlp logistic-regression datasets aggregation emotion-analysis emotion-recognition emotion-classification

Updated Jan 3, 2022
Python

srafay / Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

machine-learning-algorithms datascience naive-bayes-classifier logistic-regression support-vector-machine polynomial-regression decision-tree-classifier dataprocessing classification-algorithims random-forest-regressor support-vector-regression multiple-regression decision-tree-regression k-means-implementation-in-python k-means-clustering kernel-svm random-forest-classifier simple-linear-regression k-nearest-neighbors machine-learning-az

Updated Jun 15, 2021
Python

Madhu009 / Deep-math-machine-learning.ai

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

machine-learning natural-language-processing deep-neural-networks tensorflow word2vec linear-regression q-learning neural-networks reinforcement-learning-algorithms sarsa logistic-regression gans support-vector-machines policy-iteration value-iteration gradient-descent-algorithm monte-carlo-methods temporal-differencing-learning general-adversarial-network

Updated Mar 15, 2019
Jupyter Notebook

NLP-kr / tensorflow-ml-nlp

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Updated Sep 14, 2020
Jupyter Notebook

arnaldog12 / Machine_Learning

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

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

Updated Apr 27, 2022
Jupyter Notebook

Edward1Chou / Textclassification

several methods for text classification

random-forest tensorflow logistic-regression tf-idf

Updated Dec 31, 2017
Python

Improve this page

Add a description, image, and links to the logistic-regression topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the logistic-regression topic, visit your repo's landing page and select "manage topics."