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guassian-naive-bayes

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Naïve Bayes Classifier is one of the simple and most effective Classification algorithms which helps in building the fast machine learning models that can make quick predictions. It is a probabilistic classifier, which means it predicts on the basis of the probability of an object.

  • Updated May 20, 2022
  • Jupyter Notebook

This repository contains the implementation of a Heart Attack Prediction model using the Gaussian Naive Bayes algorithm. The dataset used is heart.csv, which includes various medical attributes to predict the likelihood of a heart attack. The project demonstrates data preprocessing, model training, evaluation, and visualization of the results.

  • Updated Jul 10, 2024
  • Jupyter Notebook

AI/ML Project on Breast Cancer Prediction (Python) using ML- Algorithms : Logisitic Regression, Decision Tree Classifier, Random Forest Classifier, Support Vector Machine Classifier, Gaussian Naive Bayes Algorithm Model, Stochastic gradient descent Classifier, Gradient Boosting Classifier . And also perform a comparative analysis of all the seve…

  • Updated Oct 20, 2024
  • Jupyter Notebook

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