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My Interaction was very short but left a positive impression. I enrolled and asked for a refund since I could not find the time. What happened next: They initiated Refund immediately. Their... Read More
This was great. The use of Jupyter was great. Prior to learning Python I was a self taught SQL user with advanced skills. I hold a Bachelors in Finance and have 5 years of business experience.. I... 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.
Build a machine learning model that will predict which jobs users will apply to given their past applications, demographics and work history.
In this machine learning project, we will build a predictive model to find out the sales of each product at a particular store.
In this project, we are going to predict how capable each applicant is repaying a loan.