Machine-Learning-Projects

This repository contains a collection of machine learning projects.

1. Books-Classifier

   • Use XGBoost to classify books.

2. GBDT-XGBoost-LightGBM

   • Use XGBoost and LightGBM to predict whether a bicycle has a fault.

3. SVM-KNN-DT-RF-LR-NB-AdaBoost-Ensemble

   This folder contains implementations of several key machine learning algorithms and an ensemble method that combines these models.

   • Support Vector Machine (SVM)
   • K-Nearest Neighbors (KNN)
   • Decision Tree (DT)
   • Random Forest (RF)
   • Logistic Regression (LR)
   • Naive Bayes (NB)
   • Adaptive Boosting (AdaBoost)
   • Ensemble