Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
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Updated
Apr 14, 2023 - Jupyter Notebook
Use auto encoder feature extraction to facilitate classification model prediction accuracy using gradient boosting models
A simple machine learning app to predict how much money a tourist will spend when visiting Tanzania.
Kaggle Gold Medal Solution. ICR - Identifying Age-Related Conditions.
This repository contain my final projekt on the Data science Skillbox school on the topic: "Development of a machine learning algorithm to predict the behavior of customers of the "SberAvtopodpiska"
Supervised Machine Learning Model for Thyroid Disease Classification
This project focuses on predicting heart disease using a comprehensive dataset containing patient information. The goal is to build machine learning models that can predict the presence of heart disease based on various health parameters.
Making a project for detecting bots and fraud in social media using Deep Learning & NLP.
Predictive Modeling for Cardiovascular Disease Prevention
ML model for prediction of diabetes based on dataset from a kaggle competition. Using HistGradientBoosting Algorithm
Airline Passenger Satisfaction prediction using sklearn
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