Each project comes with 2-5 hours of micro-videos explaining the solution.
Get access to 50+ solved projects with iPython notebooks and datasets.
Add project experience to your Linkedin/Github profiles.
The project orientation is very much unique and it helps to understand the real time scenarios most of the industries are dealing with. And there is no limit, one can go through as many projects... Read More
I have 11 years of experience and work with IBM. My domain is Travel, Hospitality and Banking - both sectors process lots of data. The way the projects were set up and the mentors' explanation was... Read More
Understanding customer loyalty is an important part of any business. The ability to predict ahead of time when a customer is likely to churn can enable early intervention processes to be put in place, and ultimately a reduction in customer churn. This machine learning project will find a solution for predicting which existing customers of an insurance company will leave in 12 months time, and when.
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
Given a partial trajectory of a taxi, you will be asked to predict its final destination using the taxi trajectory dataset.
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.