Boosting-Implementation

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Building Decision Trees From Scratch In Python

AUTOMATED TYPE CLASSIFICATION OF GLAUCOMA DETECTION USING DEEP LEARNING

2020 Spring Fudan University Data Mining Course HW by prof. Zhu Xuening. 复旦大学大数据学院2020年春季课程-数据挖掘（DATA620007）包含数据挖掘算法模型：Linear Regression Model、Logistic Regression Model、Linear Discriminant Analysis、K-Nearest Neighbour、Naive Bayes Classifier、Decision Tree Model、AdaBoost、Gradient Boosting Decision Tree(GBDT)、XGBoost、Random Forest Model、Support Vector Machine、Principal Component Analysis(PCA)

Math behind all the mainstream tree-based machine learning models

QATAR 2022 World Cup prediction from the international matches played since the 90s, the qualifications of the teams in their last matches, and the potential of each team.

Lung Cancer Prediction using Machine Learning Algorithms

The official documentation of the City of Boston's Analytics Team.

This repository contains my implementation of the research paper "Delay-Tolerant Network Routing as a Machine Learning Classification Problem" for the Study Project under VS Shekhawat Sir.

In this project, the success results obtained from SVM, KNN and Decision Tree Classifier algorithms using the data we have created and the results obtained from the ensemble learning methods Random Forest Classifier, AdaBoost and Voting were compared.