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Watch the rest of the series: Part 1 - Importing Data: This video shows Label Encoding,feature Scaling and Split data set into train and testing. Video Description: Lecture 3 – Data Cleaning & Handling Missing Values Welcome back to our Machine Learning series! In this Lecture& Tutorial I will explain about imputation of missing values and Categorical variables. Data normalization, min max normalization, z score normalization, decimal scaling. In the previous video, we covered the basics of Data Cleaning and how to handle Non-Numerical data. In this video, we dive ...
In this video we will write code in python for the second step i.e., importing the dataset. GitHub link: ... CSE351 Introduction to Data Science Department of Computer Science, Stony Brook University, NY, USA. Video Highlights and Helpful Links - The sample image, “C3-jw-30min 5_c5.tif”, used in this video can be found here ... note we could have used some of the 'STARS' column as categorical (eg. if there are enough examples of certain stars) but it ...
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Last Updated: June 10, 2026
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