Popular GitHub Repositories for Adaboost

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

Math behind all the mainstream tree-based machine learning models

Lung Cancer Prediction using Machine Learning Algorithms

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.

Emotion recognition from EEG data (Bachelor's thesis), using the DEAP dataset. Performed manual feature selection across three domains: time, frequency, and time-frequency. Used different classifiers, including XGBoost, AdaBoost, Random Forest, k-NN, SVM, etc.

A machine learning project that explores and predicts the prices of houses in Washington, USA

Machine Learning course, University of Tehran, Dr. M Tavassolipour and Dr. MRA Dehaqani, Spring 2024

This is our second project at neuefische DS Bootcamp. Silas Mederer (https://github.com/sls-mdr) and me applied different ML models and for credit default prediction of the P2P platform Lending Club.

An algorithmic trading strategy incursion using Adaboost machine learning classifier, to create the first volatility security suitable for long term investors.

machine learning scala

Electrical Impedance Spectroscopy analysis using Machine Learning

ML models for HR classification problem. For more information please visit the link: https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018-1/

Boosting Implementation (Ada-Boosting, Gradient Boosting, XGB)

Breast cancer detection using ANN and meta learning

Sentiment analysis of Covid-19 tweets using XGBoost, LSTM and BERT

AI 小项目代码、笔记

A machine learning project to predict whether an agent will be able to source business after corporate training. A Power BI dashboard is developed to capture past trends.