Hello Everyone

This project includes some studies on data science with Python. I did my studies using the Iris dataset.

What do you need?

You must install the following libraries.

• Scikit-learn
• Pandas
• Numpy
• Matplotlib

What's in the project?

• Finding minimum, maximum, average and standard deviation values of all features and printing them on the screen.
• Plotting scatter charts for these attributes and saving them as png.
  • Sepal Length vs. Sepal Width
  • Petal Length vs. Petal Width
  • Sepal Length and Sepal Width vs. Petal Length and Petal Width
• Creation of a decision tree for classification.
  • All attributes were used when creating a decision tree.
  • 80% of the data were randomly selected for education. The remainder was used for testing.
  • Confusion matrix printed.
  • Precision and recall criteria were printed.
  • The generated decision tree was graphically drawn, displayed, and saved as a file in png.

Plotting Scatter Charts

Decision Tree Example