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Volver a Time Series Forecasting and ARIMA Models in Python

Opiniones y comentarios de aprendices correspondientes a Time Series Forecasting and ARIMA Models in Python por parte de Coursera Project Network

3.1
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24 calificaciones
6 reseña

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In this 2-hour long guided tutorial, you will learn how to use ARIMA model for time series analysis and forecasting. Time series exists every where in our life from nature to stock market. You will learn how to do the basic statistical tests for times series and implement them in Python. By the end of this tutorial you will be able to understand times series concepts and analyze different datasets....
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1 - 6 de 6 revisiones para Time Series Forecasting and ARIMA Models in Python

por Muhammad M

26 de dic. de 2020

informative

por Snigdha

5 de ene. de 2021

It's a good introduction to python code for Time Series modelling, but pretty basic. Needs more advance topics and models and explanation on Python's time series packages and capabilities.

por Keith N

24 de ene. de 2021

Very hard to understand what instructor on video. There doesn't seem to be QC of the audo/video of the course.

por Jeevan A

7 de mar. de 2021

No reasonable explanation of the theory, do just for sake of completion. Not recommended at all.

por Gardiner W v T

3 de feb. de 2021

Unless you want to slowly watch and follow someone typing commands in a Jupyter notebook I would not recommend this course.

por Muhammad U B T

22 de ene. de 2021

It's very poorly explained.