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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 build a model to predict the purchase amount of customers against various products which will help a retail company to create personalized offer for customers against different products.
In this data science project, we will predict internal failures of Bosch using thousands of measurements and tests made for each component along the assembly line.
The goal of this NLP project is to predict which of the provided quora question pairs contain two questions with the same meaning.