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catboost-classifier

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This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).

  • Updated Nov 6, 2022
  • Jupyter Notebook

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

  • Updated Nov 6, 2022
  • Jupyter Notebook

This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.

  • Updated Jan 16, 2025
  • Jupyter Notebook

This project focuses on predicting house prices using machine learning techniques. The dataset consists of over 1,000,000+ rows and 12 columns containing information about various house attributes. The goal is to build predictive models to estimate house prices based on these attributes.

  • Updated Nov 18, 2024
  • Jupyter Notebook

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