Python Data Science Project 2 | Time Series Forecasting in Python Data Transform - Abhishek Agarrwal
Abhishek Agarrwal
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Python Data Science Project 2 | Time Series Forecasting in Python Data Transform - Abhishek Agarrwal
7 380 просмотров · 6 лет назад
Abhishek Agarrwal
72,5 тыс. подписчиков
7 380 просмотров · 6 лет назад
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.
Dataset - https://tinyurl.com/yd65vnf3
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Thank you
Abhishek Agarrwal