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How do I predict a category of data for a future date ? Example: what will the Sales figure for region (or region wise) for a particular date in the future based on the sales person past data for a particular product and product category? which model will be the best for these kind of problem ?

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Linear regression works well for predictive analytics if you data is linear and doesn't contain outlier i.e In places where you want to predict future trend depending on the the past/current trend, Linear regression does a fine job. Linear equation is w0 + (wT*X) where X is your input, w is the slope of your regression line and w0 is the y-intercept of your regression line. The objective function of linear regression is an optimization problem where we try to minimizes w and w0. Check out: http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html

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  • $\begingroup$ Does Linear regression predict data for a given date and some character variables? $\endgroup$ Jan 20, 2019 at 9:40
  • $\begingroup$ Yes it is. You should apply preprocessing first. But I suggest you to look at mutliclassification problem $\endgroup$ Jan 26, 2019 at 15:32
  • $\begingroup$ does sickit works for R? $\endgroup$ Feb 22, 2019 at 8:05

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