Machine learning models (SVM, KNN, Logistic Regression, Decision Tree) to predict diabetes using the Diabetes dataset
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Updated
Sep 8, 2024 - Jupyter Notebook
Machine learning models (SVM, KNN, Logistic Regression, Decision Tree) to predict diabetes using the Diabetes dataset
This repository is a collection of code, documentation, and other resources that support the management and automation of a Data Science project.
Implementing KANs with TensorFlow
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ML notes. Feel free to explore
This project utilizes machine learning to address the broad problem of spam through algorithms like Multinomial Naive Bayes and Logistic Regression; it can classify incoming emails as either spam or ham. This project aims to enhance email security and user experience while minimizing the risks of phishing attacks.
Detect fraudulent transactions in financial data using machine learning algorithms.
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Predictive model for diagnosing diabetes in Pima Indians
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