![]() ![]() ![]() The main types of descriptive analytics techniques include data aggregation and data mining which can provide us the knowledge about past events. In this branch of analytics, we will interpret the historical data to understand the changes that occurred in the business. Descriptive Analytics (Business Intelligence) This technique gives the company a good heads up that in which direction they have to work. Hadoop, Data Science, Statistics & othersįor Example, in this, we will continue the same scenario which we used in descriptive analytics, like once we fit in the historical or current data into our model and we pass on the predict command on our new input data, automatically model will tell us that which of the new customer has a chance to default on loans. ![]()
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