sanity / Quickml

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

A collection of research papers on decision, classification and regression trees with implementations.

Machine Learning inference engine for Microcontrollers and Embedded devices

A python library for decision tree visualization and model interpretation.

several methods for text classification

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

A set of tools to understand what is happening inside a Random Forest

Handwritten Digit Recognition using Machine Learning and Deep Learning

YouTube Like Count Predictions using Machine Learning

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

A New, Interactive Approach to Learning Data Science

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

An end-to-end machine learning and data mining framework on Hadoop

InfiniteBoost: building infinite ensembles with gradient descent

🔥🌟《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!