NYC IIBA PRESENTS - BA TOOLS AND TECHNIQUES - Machine Learning - Case studies - FOR BUSINESS ANALYSTS - SESSION #2 of 2
Register in advance for this meeting.
IIBA NYC Chapter is proud once again to present BA Tools and Techniques - a series of hands on workshops for Business Analysts.
Ekta Aggarwal will be presenting part 2 of two sessions that will introduce participants to Machine Learning to make it approachable, and to understand how and when Machine Learning ia used, and as a basis for further learning, if desired.
If you missed part 1 you can view the recording. Link is on the session 1 event.
Learning Objectives:
1. Retail Clustering Case Study: Using the transactional data set, with data manipulation and K-Means clustering we will segment the customers into various categories.
2. Loan Prediction Case Study: To predict whether abank should give loan to its customers, we will leverage Random Forests to build an ML model which will involve data manipulation, missing value imputation and data preparation.
Instructor Bio:
Ekta is a Senior Consultant at Ernst & Young and has worked at McKinsey & Company and Evalueserve. She has worked for telecom, retail, healthcare and people analytics. She has been training students and professionals in statistics and data science using various analytical tools namely, R, SQL, Python, Tableau, Power-BI, MS – Excel, SAS and Data Science concepts for more than 4 years. She has completed Masters in Data Science from University of Leeds, and Masters and Bachelors in Statistics from India.
Reference materials can be found at her website at: https://www.analyticsisnor
Registration:
Register in advance for this meeting.