Time Series Analysis in Python 2 | Data Science Project [Complete] | Python Data Science
In this python data science complete project tutorial I have shown the end to end time series project from scratch. This tutorial will help you understand some of the very important features related to
data transformation that helps time series analysis to give better results. Also as part of data science process you need to experiment through various techniques that helps in getting better results.
I shown first how you can create a base model and figure out its error rate using scikit learn mean squared error and then how to you can create ARIMA model which is auto regressive integrated moving average model and a most advance and most used statistical model for time series forecasting. Apart from that techniques like data normalizing and data standardization with the actual formula and how to implement it in python using scikit learn preprocessing package.
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