Sports Analytics in R (Gradient Boost approaches for Decision Tree in Regression problems)
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Updated
May 21, 2023 - HTML
Sports Analytics in R (Gradient Boost approaches for Decision Tree in Regression problems)
Kaggle challenge to predict if a customer is satisfied or dissatisfied with their banking experience.
This repo contains the result of my computer science course: An automated tool to classify credit card transactions. Could be used with any dataset
Identifying the most influential food groups on COVID-19 recovery rate: exploratory data analysis and statistical modeling
This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.
Comparison of ensemble learning methods on diabetes disease classification with various datasets
Kaggle challenge asking to predict how a supplier will quote a price on a given tube assembly.
Algorithms used to confirm whether a celestial body is a planet or not.
Big Mart Sales Prediction is a data-driven project aiming to forecast product sales accurately across Big Mart outlets. Leveraging machine learning and comprehensive datasets, our project empowers retailers to optimize inventory, enhance profitability, and make informed decisions in the dynamic world of retail.
Kaggle challenge asking to predict the outcome for each animal of the shelter.
This project compares the different machine learning models on Walmart Weekly Sales Data and predicts the weekly sales for the test data.
Kaggle challenge asking to predict the final price of each home based on their description/properties.
Applies Machine Learning approach to predict spam.
Predicting true low-VAF SNVs in HPV using triplicate NGS samples and machine learning
Integrative Biomechanical and Clinical Features Predict In-Hospital Trauma Mortality
Code for the project "Predicting hospital readmission of diabetic patients using ensemble learning"
Using data to help us choice high quality wine
Credit Card Fraud Detection using Extreme Gradient Boosting
This repository contains several machine learning projects done in Jupyter Notebooks
mlim: single and multiple imputation with automated machine learning
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