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topics page for highly curated tutorials and libraries on decision-trees.

In machine learning, computers apply statistical learning techniques to automatically identify patterns in data.

decision-trees random-forests r2d3 decision-tree

2020-04-01 · Combine interpretability of a decision tree with accuracy of a neural network.

decision-trees neural-networks deep-learning interpretability

2020-06-22 · 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

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms.

gradient-boosting decision-trees lightgbm library

A high-performance open source library for gradient boosting on decision trees

gradient-boosting decision-trees catboost library

This repo contains mathematical derivations and python implementations in numpy for key machine learning algorithms

linear-regression logistic-regression neural-networks k-nearest-neighbors

Examples for all the different utilities within scikit-learn.

scikit-learn naive-bayes linear-regression logistic-regression

Bike-rental-count-prediction The objective of this Case is to Prediction of bike rental count on daily basis on the environmental and seasonal settings.

machine-learning random-forests decision-trees decision-tree

The project is based on a dataset that has 30 labels and 1 target. The purpose of this project is to detect Phishing websites through Machine learning ...

phishing decision-trees scikit-learn machine-learning

This project aims to predict the House Prices in Boston, given various features describing the house.

regression multinomial-regression decision-trees random-forests

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