Data Pre-processing - Handling missing values and dealing with class imbalance

Notebook for the session can be found here: https://dphi.tech/data-science-bootcamp-day-18-session-on-data-preprocessing-and-handling-class-imbalance-using-fraud-detection-dataset/ This is the 7th session of the bootcamp, the session is designed for beginners & absolute beginners. Even if you do not have have any prior knowledge of the topic, you should be able to follow it smoothly. In the session, the speaker talks about how do we handle missing values and deal with class imbalance; topics such as oversampling, handling imbalance datasets, outlier analysis are also discussed. The session is a hands-on session where examples & illustrations on real dataset are demonstrated. The session speaker is Bharat Ram Ammu. Bharat is a passionate Data Scientist, and is currently working as a Data Scientist at Complidata.io. We encourage you to ask all your doubts. We'll be responding to each & every query :)