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Forecasting


I.1. Linear regression

From the article you will learn the basics of regression analysis: how to choose a regression model, what regression models there are and why this model is needed at all. Also, what methods are used to determine the quality of the model

I.2. Time series analysis +1

What can the growth schedule of visitors be divided into? Seasonality, trend and noise are the three main indicators of the time series. The selection of components allows you to analyze the influence of various factors, for example, weather

I.3. The Monte Carlo method

The first step is to put forward a hypothesis, the second step is to simulate processes and obtain statistical justification. The Monte Carlo method conducts tests based on a hypothesis and answers the question: will the hypothesis fail or is it true