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 (+126.67%)
Fuku MlSimple machine learning library / 簡單易用的機器學習套件
Stars: ✭ 280 (+1766.67%)
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 (+80%)
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 (+1053.33%)
C4.5A python implementation of C4.5 algorithm by R. Quinlan
Stars: ✭ 51 (+240%)
Dat8General Assembly's 2015 Data Science course in Washington, DC
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Machine learningEstudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Stars: ✭ 161 (+973.33%)
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 (+86.67%)
AdaptiveRandomForestRepository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
Stars: ✭ 28 (+86.67%)
Orange3🍊 📊 💡 Orange: Interactive data analysis
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ml经典机器学习算法的极简实现
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Jsmlt🏭 JavaScript Machine Learning Toolkit
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df-dn-paperConceptual & empirical comparisons between decision forests & deep networks
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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 (+29553.33%)
SporfThis is the implementation of Sparse Projection Oblique Randomer Forest
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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SGDLibraryMATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
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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.
Stars: ✭ 30 (+100%)
scorubyRuby Scoring API for PMML
Stars: ✭ 69 (+360%)
CreditAn example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
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Machine Learning ModelsDecision 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
Stars: ✭ 160 (+966.67%)
Data Science ToolkitCollection of stats, modeling, and data science tools in Python and R.
Stars: ✭ 169 (+1026.67%)
VisualMLInteractive Visual Machine Learning Demos.
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immuneMLimmuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
Stars: ✭ 41 (+173.33%)
knodleA PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
Stars: ✭ 76 (+406.67%)
sklearn-oblique-treea python interface to OC1 and other oblique decision tree implementations
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ssjSocial Signal Processing for Android
Stars: ✭ 24 (+60%)
Fraud-Detection-in-Online-TransactionsDetecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
Stars: ✭ 41 (+173.33%)
ICC-2019-WC-predictionPredicting the winner of 2019 cricket world cup using random forest algorithm
Stars: ✭ 41 (+173.33%)
ugtmugtm: a Python package for Generative Topographic Mapping
Stars: ✭ 34 (+126.67%)
NN-scratchCoding up a Neural Network Classifier from Scratch
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Point2SequencePoint2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Stars: ✭ 34 (+126.67%)
Classification NetsImplement popular models by different DL framework. Such as tensorflow and caffe
Stars: ✭ 17 (+13.33%)
ProtoTreeProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Stars: ✭ 47 (+213.33%)
Machine-Learning-SpecializationProject work and Assignments for Machine learning specialization course on Coursera by University of washington
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textlearnRA simple collection of well working NLP models (Keras, H2O, StarSpace) tuned and benchmarked on a variety of datasets.
Stars: ✭ 16 (+6.67%)
ml-workflow-automationPython Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.
Stars: ✭ 44 (+193.33%)
newtNatural World Tasks
Stars: ✭ 24 (+60%)