#
gradient-boosting-machine
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In this project, we have analyzed, explored and processed the data, developed and evaluated various classification and regression models to provide strategies for high returns with low risk for investors.
This project compares multiple bagging and boosting methods for anomaly detection for the Gecco challenge.
Analysed the features for breast cancer data and predicted the diagnosis using Random Forest, Gradient Boosting Machine (GBM)
Updated
Dec 23, 2019
Python
[SIGE-MII-UGR-2016-17] Competición en Kaggle: Titanic
Data Cleaning and modeling Approaches
Updated
Apr 16, 2019
Jupyter Notebook
Attrition Prediction using GBM (Classification)
Updated
May 1, 2022
Jupyter Notebook
Kernels for machine learning problems
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Mar 17, 2019
Jupyter Notebook
Ⓜ️ Machine Learning with Python
Updated
Oct 10, 2023
Python
The objective of this project is to predict whether or not an applicant will be able to repay a loan using historical data of user requesting a loan
Updated
Dec 25, 2018
Jupyter Notebook
House Sales Prediction using GBM (Regression)
Updated
May 4, 2022
Jupyter Notebook
Updated
May 2, 2020
Jupyter Notebook
Predictive Machine Learning Project
Updated
Apr 15, 2017
HTML
Exploration of ensemble methods on a imbalanced binary classsification problem
Updated
Jun 28, 2017
Jupyter Notebook
ArtBooster.jl turns images into abstract figures by predicting their features with a gradient booster in real-time.
Updated
Feb 25, 2017
Julia
Updated
Jun 22, 2018
Jupyter Notebook
A Machine Learning Project that aims to perform loan defaults prediction to help banks mitigate the risk of lending bad loans
Updated
May 7, 2023
Jupyter Notebook
Linear regression at transformed features by gradient boosting machine
An insight to analyzing Titanic survival using decision trees and ensemble methods
Updated
May 17, 2017
Python
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