The course contains 5 modules.
Most students are able to complete all modules in 2 weeks or less
CASE STUDIES COVERED
Sales Analysis of Food Product
Sales of a product depends on many features. It's important to study how different features affect sales. In this case study, we learn how we can model sales of a food product that depends on different features of the product, category of the product and money spent on ads. Though this case study is on sales, it can be applied on other products also.
Popularity Prediction of marketing messages
Marketing is one of the key aspects of any business, and making sure that marketing messages catch the customers attention is no joke. In this simple but tricky case study, we learn how we can make use of machine learning to predict popularity of marketing messages. You also learn some basic idea of text mining and learn how to convert text into a format that can be used by machine learning algorithms.
Predict Click Through Rates
In this simplified case study, we'll learn how to predict click through rates.
Identify customer category
Understanding the market and more importantly the customer is one of the most important requirements of any business. In this case study, we learn how to identify customer categories using a kNN algorithm, which is a classification algorithm.
WHAT YOU GET
Since this is a video-based course, there are no live classes. You get to study at your convenience, and learn at a pace that you are comfortable with.
Pre-recorded video lectures
You get to view 4 hours of video lectures, as many times as you wish to
Jigsaw Learning Centre
Gain free access to a variety of supplemental resources like handouts, reference material, guides, lecture transcripts and student forums – for a period of 3 months.
Get your doubts solved by the Jigsaw Faculty via email, phone or chat – for a period of 3 months.