236 Open Source Logistic Regression Software Projects
Free and open source logistic regression code projects including engines, APIs, generators, and tools.
Python Machine Learning Book 11468 ⭐
The "Python Machine Learning (1st edition)" book code repository and info resource
Tensorflow Book 4445 ⭐
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Adversarial Robustness Toolbox 2748 ⭐
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
Coursera Ml Py 1191 ⭐
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Ytk Learn 347 ⭐
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).
Recsys_core 271 ⭐
[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).
Deeplearning.ai Natural Language Processing Specialization 585 ⭐
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
Deep Math Machine Learning.ai 188 ⭐
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Arnaldog12 Machine_learning 178 ⭐
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Unify Emotion Datasets 190 ⭐
A Survey and Experiments on Annotated Corpora for Emotion Classification in Text
Amazon Product Recommender System 172 ⭐
Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
Machine_learning_2018 150 ⭐
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Jayshah19949596 Machine Learning Models 191 ⭐
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
Ml Fraud Detection 136 ⭐
Credit card fraud detection through logistic regression, k-means, and deep learning.
Sign Language Recognition 105 ⭐
:v: :ok_hand: :fist: :camera: Sign Language Recognition using Python
Textclf 157 ⭐
Machine_learning_stony_brook_grad_course 1 ⭐
ML classifiers and examples from my graduate class at Stony Brook ✅ 𝚋𝚢 𝚋𝚝𝟹𝚐𝚕
Mnist Classification 178 ⭐
Isl Python 141 ⭐
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Dominance Analysis 105 ⭐
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.
Machine Learning Is All You Need 239 ⭐
🔥🌟《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!
25daysinmachinelearning 56 ⭐
I will update this repository to learn Machine learning with python with statistics content and materials
Machine_learning_course 46 ⭐
Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
Click Through Rate Prediction 51 ⭐
📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms
Predicting Football Match Outcome Using Machine Learning 52 ⭐
Football Match prediction using machine learning algorithms in jupyter notebook
Brihaspati 63 ⭐
Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
Stock Return Prediction Using Knn Svm Guassian Process Adaboost Tree Regression And Qda 67 ⭐
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
Tf Example Models 40 ⭐
TensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.
Icc 2019 Wc Prediction 41 ⭐
Predicting the winner of 2019 cricket world cup using random forest algorithm
Coursera Ng Neural Networks And Deep Learning 46 ⭐
Build logistic regression, neural network models for classification
Utkuufuk Coursera Machine Learning 35 ⭐
My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.
Jensen 38 ⭐
A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)
Wisconsin Breast Cancer 38 ⭐
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
Learning Python Predictive Analytics 32 ⭐
Tracking, notes and programming snippets while learning predictive analytics
Handwritten Digits Classification Using Knn Multiclass_perceptron Svm 38 ⭐
🏆 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.
Supervised Machine Learning 33 ⭐
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 Lasso and Ridge regressions.
Sparsegdlibrary 33 ⭐
MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3
Ibm Final Project Machine Learning 30 ⭐
Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera
Machine Learning Models 26 ⭐
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Amazon Fine Food Review 26 ⭐
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