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Apr 17, 2022 - Python
catboost-classifier
Here are 61 public repositories matching this topic...
Detección de cardiopatías en pacientes mediante el uso de datos clínicos utilizando técnicas de Machine Learning y Deep Learning.
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Apr 24, 2023 - Jupyter Notebook
A ML model to predict whether the clients will subscribe to insurance or not.
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Jul 24, 2023 - Jupyter Notebook
classifying a patient has a heart disease or not
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Jul 29, 2021 - Jupyter Notebook
Amazon employee data to predict approval/ denial
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Jun 22, 2023 - HTML
This repository contains the project where the goal is to develop a machine learning model that can accurately predict car prices based on various features. We explored multiple models including K-Nearest Neighbor, Decision Tree, Catboost Classifier, and Light Gradient Boosting Classifier.
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May 31, 2023 - Jupyter Notebook
We all have experienced a time when we have to look up for a new house to buy. But then the journey begins with a lot of frauds, negotiating deals, researching the local areas and so on. So to deal with this kind of issues Today, I prepared a MACHINE LEARNING Based model, trained on the House Price Prediction Dataset.
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Jun 4, 2024 - Jupyter Notebook
Address employee attrition effectively with this mini project. Discover a comprehensive solution leveraging data analytics and machine learning techniques. Uncover insights, build predictive models, and implement strategies to mitigate attrition risks, fostering a resilient and productive workforce.
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Dec 7, 2023 - Jupyter Notebook
Machine learning to predict which passengers survived the Titanic shipwreck
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Jan 26, 2024 - Jupyter Notebook
ML-solution of the case of the District hackathon Leaders of Digital 2023. The task was to predict accidents (accidents, pipe ruptures, fires) based on the weather forecast for each of the urban districts. Gradient boosting (macro f1), cross-validation, shap values.
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Dec 24, 2023 - Jupyter Notebook
This project develops an advanced predictive model to identify thyroid disease recurrence using machine learning algorithms. We used a detailed dataset with demographic, medical, and clinical features, and implemented Logistic Regression, Decision Tree, Random Forest, and CatBoost Classifier. Rigorous preprocessing and EDA were performed.
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Jun 1, 2024 - Jupyter Notebook
The purpose is to train a predictive model that can determine if a given customer will subscribe to a term deposit based on these various features. By analyzing historical data on successful and unsuccessful subscription outcomes, patterns can be identified which help predict future subscription behavior.
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Jan 28, 2024 - Jupyter Notebook
The top 5% of the titanic competition in Kaggle. achieved this through ensemble of models
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Nov 9, 2022 - Jupyter Notebook
Create a machine learning model to predict whether an individual earns above 50,000 in a specific currency or not.
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Nov 9, 2022 - HTML
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Nov 4, 2022 - Jupyter Notebook
Taxol Drug Resistance cell lines in Breast Cancer using CatBoost
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May 5, 2023 - Jupyter Notebook
Bank Churn Classification
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Apr 20, 2024 - Jupyter Notebook
Jupyter тетрадка с решением Kaggle соревнования Leopard Classification Challenge
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Jul 30, 2023 - Jupyter Notebook
Kaggle Playground Series - Season 3, Episode 26 - Multi-Class Cirrhosis | EDA | MI-Score | Feature Engineering
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Dec 22, 2023 - Jupyter Notebook
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