#Decision-tree

Jack-Cherish

Machine-Learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

mljar

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

benedekrozemberczki

awesome-decision-tree-papers

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

igrigorik

decisiontree

ID3-based implementation of the ML Decision Tree algorithm

mbeyeler

opencv-machine-learning

M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.

jphall663

interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Western-OC2-Lab

Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

harunurrashid97

100-Days-Of-ML-Code

A day to day plan for this challenge. Covers both theoritical and practical aspects

poloclub

timbertrek

Explore and compare 1K+ accurate decision trees in your browser!

kennedyCzar

STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

SravB

Algorithmic-Trading

Algorithmic trading using machine learning.

zlxy9892

ml_code

A repository for recording the machine learning code

bkrai

Top-10-Machine-Learning-Methods-With-R

Includes top ten must know machine learning methods with R.

a-partovii

Gini-Impurity

This repository contains Python scripts for calculating the Gini Impurity measure for each feature in a relational dataset, great for feature selection, data preprocessing, decision tree construction, binary classification tasks.

textgain

grasp

Essential NLP & ML, short & fast pure Python code

nursnaaz

25DaysInMachineLearning

I will update this repository to learn Machine learning with python with statistics content and materials

likejazz

jupyter-notebooks

This repo contains Jupyter Notebooks, miscellaneous stuff.

zhaoyichanghong

machine_learing_algo_python

implement the machine learning algorithms by python for studying

sksoumik

Forecasting-Weather-Using-Machine-Learning

Forecasting weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine

jaydipkumar

Data-Science-Python

Data Science Python Beginner Level Project

csinva

tree-prompt

Tree prompting: easy-to-use scikit-learn interface for improved prompting.

leizhang-geo

machine_learning_algorithms

A repository for recording the codes of machine learning algorithms

TrainingByPackt

Artificial-Intelligence-and-Machine-Learning-Fundamentals

Get started with the development of real-world applications that are powered by the latest AI advances

SravB

NBA-Predictive-Analytics

Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.