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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
The term "univariate time series" refers to a time series that consists of single (scalar) observations recorded sequentially over equal time increments.A common assumption in many time series techniques is that the data are stationary. A stationary process has the property that the mean, variance and autocorrelation structure do not change over time. We will use traditional time series forecasting methods as well as modern deep learning methods for time series forecasting.
In this project, we will automate the loan eligibility process (real-time) based on customer details while filling the online application form.
In this machine learning project, you will build a model to predict the purchase amount of customer against various products which will help the company create personalized offer for customers against different products.
In this machine learning project, we will build a predictive model to find out the sales of each product at a particular store.