Machine-Learning-Decision-Tree-LAB-4

This repo contains Lab practices of Machine Learning performed in Jupyter Notebook using Python language

🚀 LAB-4: Decision Tree Classifier

◾ LAB 4 ipynb file consists of the basic python coding required to perform the Decision Tree Classifier on a given data set and classify the data accurately. This code files uses the bill_authentication.csv dataset file to perform the Decision Tree Classifiecation and Visualizes the classification tree using matplotlib and seaborn libraries.