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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
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
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Aug 15, 2017 - Jupyter Notebook
What factors influence runners
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Jan 25, 2018 - Jupyter Notebook
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
Classroom-PeopleCounting.
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Dec 25, 2020 - Python
Lung Cancer Prediction using Machine Learning Algorithms
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Feb 13, 2024 - Jupyter Notebook
Implementing Catboost
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Jul 18, 2020 - Jupyter Notebook
Regression Analysis - Toyota Corolla price prediction
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May 21, 2020 - Jupyter Notebook
Predicting the Critical Temperature of Superconductors using numerous Machine Learning techniques along with a comparative analysis of their performances.
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Sep 17, 2023 - Jupyter Notebook
Entries for the Kaggle Home Credit Group credit default competition.
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Jun 1, 2018 - Jupyter Notebook
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Mar 27, 2019 - 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
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