Personalized product recommendations are the alternative way of navigating through the online shop. More people find products they need. Even if they didn't think of them. Build a recommendation engine which suggests similar products to the given product in any e-commerce websites ex. Amazon.com, myntra.com etc
Objective of AI Work shop:
To give a flavour of what is Machine Learning/Artificial Intelligence
To introduce you how a real world machine learning problem can be solved
In this work shop we will build a recommendation engine that suggests relevant apparels to the given apparelThe recommendation engine, uses information about 1,80,000 products and each product will have multiple features named
Title of the product
Brand of the product
Color of the product
Type of the product
Image of the apparel
Data Source: Amazon.com
Key Points:
Validity of this workshop is 100 days( i.e Starts from the date of your registration to this course)
No prerequisites-- we will teach every thing from basics ( we just expect you to know basic programming)
Python for Data science is part of this curriculum.
Target Audience:
We are building our workshop content and teaching methodology to cater to the needs to students at various levels of expertise and varying background skills. This workshop can be taken by anyone with a working knowledge of a modern programming language like C/C++/Java/Python. We expect the average student to spend at least 15 hours. More the effort, better the results. Here is a list of customers who would benefit from our workshop:
Undergrad (BS/BTech/BE) students in engineering and science.
Grad(MS/MTech/ME/MCA) students in engineering and science.
Working professionals: Software engineers, Business analysts, Product managers, Program managers, Managers, Startup teams building ML products/services.