Implementation of KNN Algorithm on Big-mart Sales data for item outlet sales | Regression | Day 35 

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 continuation of previous video in which we learned a lot about machine learning pre-processing and classification. This video demonstrates the implementation of those steps (Pre-processing and ML model training) on Big Mart Sales dataset for the regression problem, in which we will train a Machine Learning based model to predict the item outlet sales. This is a regression problem and we will go through each step including missing value removal, Dealing with various kinds of data, one hot encoding, Scaling of Data, Splitting data for training and testing and training of Machine Learning model for regression task using Machine Learning algorithm namely K-nearest neighbor.
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...