Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Stars: ✭ 161 (+0.63%)
Isl PythonSolutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Stars: ✭ 108 (-32.5%)
Machine learning basicsPlain python implementations of basic machine learning algorithms
Stars: ✭ 3,557 (+2123.13%)
25daysinmachinelearningI will update this repository to learn Machine learning with python with statistics content and materials
Stars: ✭ 53 (-66.87%)
MachineLearningSeriesVídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
Stars: ✭ 20 (-87.5%)
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
Stars: ✭ 28 (-82.5%)
Fuku MlSimple machine learning library / 簡單易用的機器學習套件
Stars: ✭ 280 (+75%)
MachineLearningImplementations of machine learning algorithm by Python 3
Stars: ✭ 16 (-90%)
Grtgesture recognition toolkit
Stars: ✭ 739 (+361.88%)
MlkitA simple machine learning framework written in Swift 🤖
Stars: ✭ 144 (-10%)
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 (-78.75%)
Machine-Learning-ModelsIn This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Stars: ✭ 30 (-81.25%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+847.5%)
SGDLibraryMATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
Stars: ✭ 165 (+3.13%)
GDLibraryMatlab library for gradient descent algorithms: Version 1.0.1
Stars: ✭ 50 (-68.75%)
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!
Stars: ✭ 173 (+8.13%)
Ds and ml projectsData Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Stars: ✭ 56 (-65%)
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 (-83.12%)
zoofszoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Stars: ✭ 142 (-11.25%)
yggdrasil-decision-forestsA collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
Stars: ✭ 156 (-2.5%)
models-by-exampleBy-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Stars: ✭ 43 (-73.12%)
VBLinLogitVariational Bayes linear and logistic regression
Stars: ✭ 25 (-84.37%)
ml经典机器学习算法的极简实现
Stars: ✭ 130 (-18.75%)
MLDay18Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18
Stars: ✭ 15 (-90.62%)
AdaptiveRandomForestRepository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
Stars: ✭ 28 (-82.5%)
linear-treeA python library to build Model Trees with Linear Models at the leaves.
Stars: ✭ 128 (-20%)
Mylearnmachine learning algorithm
Stars: ✭ 125 (-21.87%)
Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Stars: ✭ 4,448 (+2680%)
cobraA Python package to build predictive linear and logistic regression models focused on performance and interpretation
Stars: ✭ 23 (-85.62%)
Machine Learning In RWorkshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
Stars: ✭ 144 (-10%)
MlA set of machine learning experiments in Clojure
Stars: ✭ 30 (-81.25%)
Php MlPHP-ML - Machine Learning library for PHP
Stars: ✭ 7,900 (+4837.5%)
Jsmlt🏭 JavaScript Machine Learning Toolkit
Stars: ✭ 22 (-86.25%)
Machine Learning Workflow With PythonThis is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Stars: ✭ 157 (-1.87%)
Awesome Quantum Machine LearningHere you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Stars: ✭ 1,940 (+1112.5%)