⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.

Building Decision Trees From Scratch In Python

Time Series Decomposition techniques and random forest algorithm on sales data

MF-BAVART model introduced in "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs"

Machine Learning algorithms coded from scratch

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

Decision Tree to predict the value of a continuous target variable

Generic decision trees for rust

Tree based algorithm in machine learning including both theory and codes. Topics including from decision tree regression and classification to random forest tree and classification. Grid Search is also included.

Python package for Bayesian Model Mixing

Regression trees for interval censored output data

Use regression tree to predict firearm death rate with firearm law & CDC firearm death rate data.

[ICML23] Extrapolated Random Tree for Regression

An easy-to-use scikit-learn inspired implementation of the Standard Genetic Programming (StdGP) algorithm.

A real life case study of property price prediction based on data of New York City.

Forecasting air pollution from given weather data. Two models were implemented: Regression Trees and LSTM model.

An R package that implements several methods for growing regression trees with functional and multivariate outputs

This repository is a collection of both basic and advanced code templates for Model Building. All codes I am sharing are from the practical exercises I did from the Data Science Infinity Program.

Simple example demonstrating Regression using Decision Trees