Implementation of Decision Tree algorithm on Titanic Dataset | Performance Matrices in ML | Day 38

Hey everyone! 🎉 Welcome to our 6-week 'Machine Learning with Python' series designed specifically for absolute beginners! Whether you've never written a single line of code or are just starting to explore programming, this course is for you. No prior experience needed! 🚀

The video is an extension of previous video where we saw mathematics behind decision tree algorithm. In this video we will see the implementation of decision tree algorithm using sklearn library in python with every detail you need to know. We will learn about various performance matrices which are required for the evaluation of model with balanced and unbalanced data. We will see confusion matrix, accuracy, precision, recall and F1-score in detail.

If you're ready to make your coding experience smooth and efficient, stick around as we explore these powerful platforms together! Let’s get coding! 🔥 Feel free to drop your doubts / queries / suggestions in the comment section below.

Here is the link for the current AI/ML playlist:    • Machine Learning using Python for abs...