gradientboosting

ndtands/TabularDataProblem

Classification in TabularDataset

rohitinu6/Lung_Cancer_Prediction_Using_Machine_Learning

Lung Cancer Prediction using Machine Learning Algorithms

opennlp/Large-Scale-Text-Classification

Large Scale benchmarking of state of the art text vectorizers

cdalsania/Credit_Card_Fraud_Detection

This project researched the credit card transaction dataset and tried various machine learning classification models on the dataset to determine the best model that would flag suspicious activity more accurately.

ankanD1601/Amazon-Fine-Food

amir-rs/Prediction-of-osteoporosis-with-ML-and-NN

This project aims to detect bone fractures using machine learning and neural networks. It utilizes various machine learning models including AdaBoost, CatBoost, Logistic Regression, Random Forest, Support Vector Machine (SVM), XGBoost, Gradient Boosting, and LightGBM and and neural networks.

ankit013/Catboost

Implementing Catboost

ankushmallick1100/Django-Insurance-Premium-Predictor-Web-App

This is a web app where a user can signup to the website first and then login to access the website. Then, he/she can give their age, select his/her gender, bmi, number of children, select whether he/she is a smoker or not, and select his/her region. Gradient Boosting Regressor is used in this project which gives the best accuracy of 89.798.

bharanianand/Toyota-Corolla

Regression Analysis - Toyota Corolla price prediction

govardhan26/Heart-disease-blog

This is a blog of how machine learning algorithms are used to detect if a person is prone to heart disease or not.

hncpr1992/BlogFeedBackProject

pavankethavath/Microsoft-Classifying-Cybersecurity-Incidents-with-ML

A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn

saranggalada/ML_Superconductivity

Predicting the Critical Temperature of Superconductors using numerous Machine Learning techniques along with a comparative analysis of their performances.

tezzytezzy/caravan-insurance-policy

Random Forest Classification

alaaelkhashap/Apply-DT-Bagging-Boostingusing-Handwritten-Digits-Data-Set-

Classification Handwritten Digits

Ankita-Epari/Capstone-project-global-terrorism-

ankur727/NYC_Taxi_Trip_Time_Prediction

ML - Supervised - Regression

ArefMahjoubfar/fMRI-Classification-based-on-age-and-sex

a project for CNCS2021

aryamaansaha/employeeattrition

This repository contains code that was used to predict employee attrition using machine learning methods.

aviban12/Addicition-Prediction

EmanuelSommer/boosting_methods

[xgboost/ tidymodels/ bookdown] Boosting methods for regression: Theory and application in R

jazaoo13/WeatherPrediction

This project focuses on predicting the weather for the next day using a classification model. Both RandomForest and GradientBoosting classifiers were tested with grid search for hyperparameter tuning. The dataset used for this project is available at Kaggle.

luuisotorres/Detectando-Fraudes-de-Cartao-de-Credito-com-Machine-Learning

Utilizando algoritmos de classificação para criar um modelo preditivo que seja capaz de detectar fraudes de cartão de crédito.

Mgenthon/oc_p7

Rajasri-kolli/Cesareandelivery-prediction

This study aimed to assess whether machine learning algorithms would outperform traditional modeling in developing a cesarean delivery prediction model among gravidas with morbid obesity (body mass index of ≥40 kg/m2) to determine whether a primary cesarean delivery may be beneficial.

ririraissa/Hotel_Cancelation_Order

When a customer places an order, the order may or may not be canceled later. To assist the hotel in minimizing losses it is necessary to analyze and predict the factors that lead customers to cancel their orders using machine learning model.

shihabmuhtasim/Machinearning-Model-Weather-Prediction-Rain-Snow-

This project aims to address the challenge of predicting whether it will rain or snow in Hungary based on various meteorological variables.

tianyiwangnova/2020_project__Starbucks_Ad_Campaign_Optimization

Based on the result data of an ad campaign experiment (randomly split the customers into control and experiemnt group), determine in the future what types of customers should be sent promotions to optimize the profit from ad

vrittigandhi/data_mining_project_22

Predicting popularity of movies using the IMDb movies dataset with multiple regression algorithms such as XGBoost, Gradient Boosting, Regularization Regressors, and Stacking Regressor; Performed extensive data cleaning, feature engineering, and used transformation techniques such as winsorization and log-transformation

alsgkals2/Ensemble_classification

Ensemble_classification

jodiambra/Interconnect-Telecom-Churn-Predictions

The telecom operator Interconnect would like to forecast churn of their clients. To ensure loyalty, those who are predicted to leave will be offered promotional codes and special plans.

Norhanzeid/Telecom-Customer-Churn-Prediction

Data Science Project - Full Depth analysis AND Prediction Using LogisticRegression and GBM using Balancing techniques like Class_Weight and ADASYN

sarathchandrikak/ML-by-Jovian

Course Work on Machine Learning covering Supervised and Unsupervised Algorithms

ShrishailSGajbhar/Coursera-Project

Final project for "How to win a data science competition" Coursera course

WangRongsheng/Classroom-PeopleCount

Classroom-PeopleCounting.