Top logistic-regression open source projects

VBLinLogit

Variational Bayes linear and logistic regression

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matlab TeX machine-learning linear-regression logistic-regression variational-bayes

tf-example-models

TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.

✭ 42

python machine-learning neural-network tensorflow cnn gaussian-mixture-models logistic-regression k-means

Amazon-Fine-Food-Review

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

✭ 28

Jupyter Notebook random-forest svm naive-bayes logistic-regression machinelearning decision-trees knn tsne kmeans-clustering truncated-svd amazonfinefoodreviews

Machine-Learning-Andrew-Ng

机器学习-Coursera-吴恩达- python+Matlab代码实现

✭ 127

matlab python machine-learning linear-regression logistic-regression regularization andrew-ng cs229

mnist-challenge

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

✭ 68

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

models-by-example

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

IBM-final-project-Machine-Learning

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

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Jupyter Notebook machine-learning scikit-learn coursera logistic-regression ibm decision-trees svm-classifier knn-classifier

Machine Learning From Scratch

Machine Learning models from scratch with a better visualisation

✭ 15

Jupyter Notebook python matlab visualization machine-learning neural-network naive-bayes-classifier classification logistic-regression regularization decision-trees decision-tree probabilistic-models kernel-learning

cobra

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

✭ 23

Jupyter Notebook python linear-regression logistic-regression predictive-analytics-for-business

supervised-machine-learning

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

✭ 34

Jupyter Notebook machine-learning natural-language-processing random-forest media classification auc logistic-regression decision-trees webscraping roc-curve clicks beautifulsoup4

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.

Heart-Disease-Analysis-and-Prediction

Heart Disease Analysis repository

✭ 23

Jupyter Notebook python machine-learning logistic-regression uci-machine-learning heart-disease

VisualML

Interactive Visual Machine Learning Demos.

✭ 104

CSS SCSS javascript HTML shell machine-learning deep-learning svm style-transfer pca autoencoder logistic-regression visualizations mlp-classifier tensorflow-js vanishing-gradient

Loan-Approval-Prediction

Loan Application Data Analysis

✭ 61

Jupyter Notebook data-science machine-learning data-mining data-visualization classification data-analysis logistic-regression juypter notebook-jupyter accuracy-analysis

ICC-2019-WC-prediction

Predicting the winner of 2019 cricket world cup using random forest algorithm

✭ 41

Jupyter Notebook machine-learning algorithms random-forest scikit-learn jupyter-notebook artificial-intelligence cricket logistic-regression support-vector-machines knn-classification worldcup2019

click-through-rate-prediction

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

✭ 60

python machine-learning random-forest adwords logistic-regression advertising decision-trees decision-tree-classifier online-advertising click-through-rate logistic-regression-models

brglm2

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

✭ 18

r c statistics algorithms regression estimation rstats logistic-regression glm regression-algorithms bias-reduction nominal-responses ordinal-responses adjusted-score-equations bias-reducing-adjustments

amazon-reviews

Sentiment Analysis & Topic Modeling with Amazon Reviews

✭ 26

Jupyter Notebook python sentiment-analysis amazon topic-modeling logistic-regression lda nmf multinomial-naive-bayes

SGDLibrary

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

info-retrieval

Information Retrieval in High Dimensional Data (class deliverables)

✭ 33

Jupyter Notebook python svm embeddings neural-networks logistic-regression principal-component-analysis convex-optimization linear-discriminant-analysis kernel-trick

text-classification-cn

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

✭ 81

python nlp machine-learning deep-learning text-classification svm word2vec naive-bayes scikit-learn keras corpus cnn logistic-regression tf-idf sogou embedding pretrained text-cnn keras-cnn embedding-layers

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.

✭ 111

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

text-classification-baseline

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

✭ 55

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

GDLibrary

Matlab library for gradient descent algorithms: Version 1.0.1

✭ 50

matlab machine-learning big-data newton optimization svm linear-regression machine-learning-algorithms statistical-learning classification logistic-regression gradient gradient-descent softmax-regression optimization-algorithms matrix-completion multinomial-regression rosenbrock-problem

srqm

An introductory statistics course for social scientists, using Stata

✭ 43

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

Quick-Data-Science-Experiments-2017

Quick-Data-Science-Experiments

✭ 19

Jupyter Notebook HTML machine-learning collaborative-filtering matrix-factorization ranking pca classification stat logistic-regression spline lda decision-tree nmf

Machine-Learning-Models

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

coursera-ml-py-sj

No description or website provided.

✭ 41

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

Regression

Multiple Regression Package for PHP

✭ 88

PHP regression logistic-regression gradient-descent multiple

Statistical-Learning-using-R

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

✭ 27

r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis

Heart disease prediction

Heart Disease prediction using 5 algorithms

✭ 43

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

Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-Learn

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

✭ 41

python machine-learning random-forest dtw scikit-learn classification logistic-regression similarity-measures trajectory-analysis knn trajectory scikitlearn-machine-learning classifiers

STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

✭ 94