VisualMLInteractive Visual Machine Learning Demos.
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cobraA Python package to build predictive linear and logistic regression models focused on performance and interpretation
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RegressionMultiple Regression Package for PHP
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Kickstarter-AnticipatorThe main aim of this project is to tell that the certain project will be successful or it will fail by applying machine learning algorithm. In this , LOGISTIC REGRESSION is used to determine the success of the project by splitting the data into training and testing models and predicting a successful one.
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brglm2Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
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srqmAn introductory statistics course for social scientists, using Stata
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VBLinLogitVariational Bayes linear and logistic regression
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Fuku MlSimple machine learning library / 簡單易用的機器學習套件
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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.
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ICC-2019-WC-predictionPredicting the winner of 2019 cricket world cup using random forest algorithm
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Ftrl-FFMField-aware factorization machine (FFM) with FTRL
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SGDLibraryMATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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ml经典机器学习算法的极简实现
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Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
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Ytk LearnYtk-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).
Stars: ✭ 337 (+665.91%)
Amazon-Fine-Food-ReviewMachine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
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models-by-exampleBy-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Stars: ✭ 43 (-2.27%)
machine learning courseArtificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
Stars: ✭ 47 (+6.82%)
Jsmlt🏭 JavaScript Machine Learning Toolkit
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supervised-machine-learningThis 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…
Stars: ✭ 34 (-22.73%)
MlA set of machine learning experiments in Clojure
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GARDGeneralized Analog Regression Downscaling (GARD) code
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Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: ✭ 4,448 (+10009.09%)
amazon-reviewsSentiment Analysis & Topic Modeling with Amazon Reviews
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CreditAn example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Stars: ✭ 18 (-59.09%)
info-retrievalInformation Retrieval in High Dimensional Data (class deliverables)
Stars: ✭ 33 (-25%)
dominance-analysisThis 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.
Stars: ✭ 111 (+152.27%)
Mathematical-ModelingA sharing of the learning process of mathematical modeling 数学建模常用工具模型算法分享:数学建模竞赛优秀论文,数学建模常用算法模型,LaTeX论文模板,SPSS工具分享。
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GDLibraryMatlab library for gradient descent algorithms: Version 1.0.1
Stars: ✭ 50 (+13.64%)
Tensorflow Ios ExampleSource code for my blog post "Getting started with TensorFlow on iOS"
Stars: ✭ 432 (+881.82%)
Statistical-Learning-using-RThis 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.
Stars: ✭ 27 (-38.64%)
tf-example-modelsTensorFlow-based implementation of (Gaussian) Mixture Model and some other examples.
Stars: ✭ 42 (-4.55%)
Trajectory-Analysis-and-Classification-in-Python-Pandas-and-Scikit-LearnFormed 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…
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Machine learning basicsPlain python implementations of basic machine learning algorithms
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Dist LrA distributed logistic regression system based on ps-lite.
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Dota2 PredictorTool that predicts the outcome of a Dota 2 game using Machine Learning
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mnist-challengeMy solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
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