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A Visual Introduction to Machine Learning
In machine learning, computers apply statistical learning techniques to automatically identify patterns in data.
decision-trees random-forests r2d3 decision-tree
Neural-Backed Decision Trees
Combine interpretability of a decision tree with accuracy of a neural network.
decision-trees neural-networks deep-learning interpretability
Diabetes Classifier
The machine learning model uses DecisionTree classifier to predict whether a person is diabetic or not
decision-trees machine-learning exploratory-data-analysis data-science
Core Machine Learning Implementations
This repo contains mathematical derivations and python implementations in numpy for key machine learning algorithms
linear-regression logistic-regression neural-networks k-nearest-neighbors
Decision Trees in Machine Learning
A tree has many analogies in real life, and turns out that it has influenced a wide area of machine learning, covering both classification and regression.
decision-trees random-forests decision-tree tutorial
Decision Trees
An overview of decision trees with an implementation in scikit-learn.
decision-trees random-forests scikit-learn decision-tree
Awesome Decision Trees
A collection of research papers on decision, classification and regression trees with implementations.
decision-trees gradient-boosting classification classification-trees
Awesome Gradient Boosting
A curated list of gradient boosting research papers with implementations.
boosting gradient-boosting data-mining nips
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