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Nov 27, 2019 - Python
gradientboosting
Here are 38 public repositories matching this topic...
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
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Mar 26, 2022 - HTML
What factors influence runners
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Jan 25, 2018 - Jupyter Notebook
Course Work on Machine Learning covering Supervised and Unsupervised Algorithms
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Jul 27, 2021 - Jupyter Notebook
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.
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May 14, 2023 - HTML
This project aims to address the challenge of predicting whether it will rain or snow in Hungary based on various meteorological variables.
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Aug 28, 2023 - Jupyter Notebook
Classroom-PeopleCounting.
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Dec 25, 2020 - Python
ML - Supervised - Regression
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Sep 21, 2022 - Jupyter Notebook
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.
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Oct 11, 2023 - Jupyter Notebook
a project for CNCS2021
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Jun 16, 2023 - Jupyter Notebook
A sales predictor machine learning model.
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Feb 15, 2017 - Jupyter Notebook
Ensemble_classification
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Aug 23, 2022 - Python
Entries for the Kaggle Home Credit Group credit default competition.
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Jun 1, 2018 - Jupyter Notebook
This repository contains code that was used to predict employee attrition using machine learning methods.
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Jan 30, 2023 - HTML
Utilizando algoritmos de classificação para criar um modelo preditivo que seja capaz de detectar fraudes de cartão de crédito.
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Jun 22, 2022 - Jupyter Notebook
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
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Jan 6, 2020 - Jupyter Notebook
[xgboost/ tidymodels/ bookdown] Boosting methods for regression: Theory and application in R
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Sep 15, 2021 - HTML
Classification Handwritten Digits
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Dec 24, 2022 - Jupyter Notebook
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.
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Apr 21, 2024 - Jupyter Notebook
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