Time series forecasting using AR, MA and ARIMA models.

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Bojo Beach — Accra, Ghana

“If you can look into the seeds of time, and say which grain will grow and which will not, speak then unto me. “ — William Shakespeare

Introduction

Forecasting is by far the most important and frequently used application of predictive analytics because it has significant impact on both the top line and the bottom line of an organization. Every organization prepares long-range and short-range planning and forecasting demand for their product and services.

The time-series data Yt is a random variable, usually collected at regular time intervals and in chronological order…

Lokesh Saini

Passionate about Deep Learning, Football and Life. https://www.linkedin.com/in/lokesh-saini-91720b91/

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