boosting-algorithms

Breast-Cancer-Detection-Using-Machine-Learning-Algorithms

clustering-and-Ensemble-techniques

Welcome to the Machine Learning Repository - Part 4! This repository focuses on unsupervised machine learning algorithms, particularly clustering techniques, and explores the fascinating world of ensemble methods, including boosting and bagging.

bcpm-pfda-challenge

My Solution for PrecisionFDA Brain Cancer Predictive Modeling and Biomarker Discovery Challenge

LG_Aimers_5th

[해커톤] LG 전자 디스플레이 제조 공정 이상 탐지 AI 모델 개발

predictive-analytics-machine-learning-model

Predictive Analysis using a Comparison of Three Machine Learning Algorithms (KNN, Random Forest, and Boosting Algorithm) to Predict Home Selling Prices.

Regression-Bike-Sharing-Demand-Prediction

This project help in stabilizing bike demand for every hour

Python-Chilla-2.0

All the content that I learned through two Courses. One is called "Python Chilla" and the second one is called "100 Days of Machine Learning"

Data_Based_Security

Data based security code for malware detection using various of boost algorithm

CARD-FRAUD-DETECTION

IEEE-CIS-FRAUD-DETECTION

elasticsearch-termrecencyboosting-plugin

Elasticsearch custom similarity plugin to calculate score based on TF * IDF and term recency. Plugin causes that terms with more recent timestamp have higher score.

machine-learning-classification

Built classifiers using logistic regression and decision trees to classify product reviews and used machine learning techniques such as boosting, precision and recall, and stochastic gradient descent for optimization in Python

CSE342-Statistical-Machine-Learning

This repository contains my coursework (assignments, semester exams & project) for the Statistical Machine Learning course at IIIT Delhi in Winter 2024.

anomaly-detection

The Anomaly Detection project aims to develop a system that can identify and flag unusual patterns or outliers in a given dataset or system. By utilizing advanced statistical techniques and machine learning algorithms, the project aims to detect deviations from normal behavior that could indicate potential anomalies

high-dimensional-statistics

[Python, R] My homeworks for the Statistics for high-dimensional data course of my MSc @ Mines Nancy

goboost

Boosting Algorithms in Go

HSE_SBER_hackatone

A machine learning service that predicts a user's gender based on transaction data, using behavioral patterns and purchase history to deliver accurate, data-driven insights

Machine-Learning---Project-Based

Boosting is one of the methods contained in Ensemble Learning. This technique makes it possible to combine several models into one more robust model.

TED-Talks-Views-Prediction-Supervised-learning

This project aims to build a regression model that predicts the number of views for TED Talks videos on the TED website.

garment-worker-productivity-prediction

Explainable Garment's Workers Productivity Prediction Using Machine Learning Algorthms & SHAP

previsao_precos_imoveis_zap

Tratamento dos dados, análise gráficas e desenvolvimento de modelos de regressão de machine learning para previsão do preço de imóveis residenciais no Rio de Janeiro.

Gradient-Boosting-for-Cryptomarkets

Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.

Machine_learning_projects

Projects on Classification and Regression

cost-sensitive-boosting

Source code to reproduce the results of the cost-sensitive boosting for classification of imbalanced data

hr_analytics_ML

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

ngboost-tuner

A CLI Tuner of NGBoost

House-Votes-Classifier

Implementing a naive bayes classifier from scratch with k-fold validation and randomized boosting to classify house votes data .

Analyze-This-18

(National Rank: 22) Analyze This' 18, American Express Data Science Competition

kick-off-Machine_Learning_Algorithms-Python

A Tour of Machine Learning Algorithms. (python | scikit-learn | numpy | pandas | matplotlib)

MachineLearningProject

Machine-Learning with Python and R programming

IplBoost

Repository containing code for a package that implements a boosting algorithm for sliding landmark models.

Quora-Question-Pair

A Comparative analysis of machine learning models on Quora Question Pair dataset

boosting

Implementation of boosting algorithms

MNIST-Digit-Classification-using-XGBoost

Using XGBoost on MNIST to classify Handwritten Digits

Model-Ensembles-Boosting-In-Machine-Learning

"This repository contains implementations of Boosting method, popular techniques in Model Ensembles, aimed at improving predictive performance by combining multiple models. by using titanic database."

Analysis-on-Churn-Banking-Modeling-Dataset

Final task for the Statistical Consulting class