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#

catboost-classifier

Here are 139 public repositories matching this topic...

categorizing news: fake or not

  • UpdatedDec 22, 2024
  • 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.

  • UpdatedNov 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.

  • UpdatedJan 16, 2025
  • Jupyter Notebook

Multimodal Sentiment Analysis using Text and Image Data on twitter dataset

  • UpdatedJun 22, 2024
  • Jupyter Notebook

Uses letter frequency and catboost classifier model in synchronous for guessing letters in hangman game instance. The model performance is evaluated on both seen words in the dictionary and words out of the dictionary.

  • UpdatedJan 17, 2024
  • Jupyter Notebook

ML-bot that detects toxicity in russian texts.

  • UpdatedJun 2, 2021
  • Jupyter Notebook

Classifying if a landslide occured or not

  • UpdatedAug 20, 2022
  • Jupyter Notebook

Командный проект по Векторной электрокардиографии

  • UpdatedNov 30, 2023
  • Jupyter Notebook

End-to-end cancer diagnosis using Machine learning and Flask for a web interface.

  • UpdatedJan 12, 2026
  • Jupyter Notebook

A Domestic violence support system for the victims, that enables users to share their thought and provides knowledge about the particular type of abuse they are going through.

  • UpdatedMar 10, 2024
  • Jupyter Notebook

A model on the streamlit framework predicts disease and makes a treatment recommendation

  • UpdatedNov 3, 2023
  • Jupyter Notebook

Identify health insurance customers with interest in a vehicle insurance.

  • UpdatedJan 8, 2024
  • Jupyter Notebook
Mars-spectrometry-14th-place-solution

This is my final solution to the Mars-spectrometry challenge by NASA hosted on@drivendataorg

  • UpdatedMay 25, 2022
  • Jupyter Notebook

Machine Learning aplicado al mantenimiento predictivo. Se realizaron 2 modelos: 1 por medio de clasificación binaria que predice si una máquina fresadora estará en riesgo de fallar o no, y el 2 modelo a través de clasificación multiclase que predecirá el modo de falla

  • UpdatedNov 8, 2023

Discover a comprehensive approach to constructing credit risk models. We employ various machine learning algorithms like LightGBM and CatBoost, alongside ensemble techniques for robust predictions. Our pipeline emphasizes data integrity, feature relevance, and model stability, crucial elements in credit risk assessment.

  • UpdatedAug 15, 2024
  • Jupyter Notebook

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