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support-vector-classifier

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MatthewCSC / 2020-Heart-Failure-Prediction

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This repository contains a notebook that examines the performance of various classification models on the Kaggle dataset: https://www.kaggle.com/datasets/andrewmvd/heart-failure-clinical-data. The best performing model was a Random Forest Classifier with 86.67% accuracy.

machine-learning logistic-regression decision-tree-classifier support-vector-classifier knn-classification random-forest-classifier heart-failure-prediction
  • Updated Apr 29, 2023
  • Jupyter Notebook

MohamedKhalidLx / Loan-Eligibility-Prediction-Web-App

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Loan Eligibility Prediction Model: A machine learning application to predict loan approval based on applicant data. Includes a web interface for submitting loan applications and receiving predictions. Built with Python and Jupyter Notebook.

css python html flask machine-learning csv machine-learning-algorithms ipython-notebook webapp naive-bayes-classifier logistic-regression gradient pickle decision-tree-classifier gradient-boosting-classifier support-vector-classifier random-forest-classifier knn-classifier bernoulli-naive-bayes gaussian-naive-bayes-classifier
  • Updated Jun 1, 2024
  • Jupyter Notebook

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