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"
Looking for a career upgrade & a better salary? We can help, Choose from our no 1 ranked top programmes. 25k+ career transitions with 400 + top corporate companies. Exclusive for working professionals: https://glacad.me/3bd5CSE
Get your free certificate of completion for the k-fold Cross Validation course, Register: Now:https://glacad.me/3EhfcQL
Visit Great Learning Academy, to get access to 300+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity, Software Development and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/3duVMLE
Get the free Great Learning App for a seamless experience, enroll for free courses and watch them offline by downloading them. https://glacad.me/3cSKlNl
About Great Learning:
- Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more.