HR analytics (also known as people analytics) is the collection and application of talent data to improve critical talent and business outcomes. Moreover, what is being covered here is the overview of basic concepts required for preparing data for machine learning and then a case study on an ed-tech company is discussed. The problem statement for the case study is that an Ed-Tech company wants to hire data scientists among people who have successfully passed some courses and then signed up for training and the company wants to cut down on the cost and time of categorization of candidates.

00:01:10 - Introduction to the Industry Session
00:02:46 - Data Leakage
00:04:25 - How to prevent Data Leakage?
00:10:11 - Building Pipelines
00:12:55 - k-Fold Cross-Validation
00:14:40 - Data Balancing Techniques
00:17:39 - SMOTE
00:18:47 - Case Study for "Ed-Tech Company hiring data Scientists"

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