Data Preprocessing | Distance Matrices in KNN | Regression Problem | Nominal & Ordinal Data | Day 34

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 discusses about the hyper-parameters used in K-Nearest Neighbors (KNN) Algorithm. We will explore different distance matrices used for distance calculation between neighbors in KNN. We will start with a new Regression Problem which focuses on predicting item outlet sales. We will learn how to deal with missing values in our data, How different types of data affects our mode and how can we use it to our best advantage. We will learn about nominal and ordinal data, one hot encoding and assigning weightage to the values, and focus on building the KNN based machine learning model.
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Here is the link for the current AI/ML playlist: • Machine Learning using...