Time Series Analysis Stock Market Prediction Python

Many people are into the stock market. However, the market changes time-to-time and becomes difficult to predict. Hence, stock market prediction using time series analysis has become a hot topic. A series of observations over a specific period is known as a time series. A univariate time series comprises values taken by a single variable at regular time instances over a period. A multivariate time series includes values taken by multiple variables at similar periodic time instances over a period. 

In this course, we'll be exploring the concepts and applications of the Time Series in the Stock Market. In addition, we will learn the overview of capital markets, exponential smoothing, and ARIMA. We will also learn how to compare different models.

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