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Predict a person whether to develop diabetes using Naive Bayes

We will use Naive Bayes to model the "Pima Indians Diabetes" data set. This model will predict which people are likely to develop diabetes.

This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.

Installation

The below libraries is used in the project

  pip install pyforest
  install numpy
  install pandas
  install matplotlib
  install seaborn
  install sklearn

🛠 Skills

  1. Python
  2. Data science
  3. Machine learning

LOGO

Hi, I'm Ho Hasby! 👋

🚀 About Me

I'm a full stack data scientist