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7/7/2020
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Time Series Analysis and Forecasting using Python, in this course you will learn how to analyze and predict time series with Python. If you are looking for a training course in predicting time series to make decisions in your business, including production schedule, inventory management, manpower management and many other areas, this course is for you.
Understanding how sales will change in the future is one of the key pieces of information that helps managers make data-driven decisions. Therefore, in this course, how to use forecasting models to find patterns in time series data as well as forecasting based on these models will be taught.
In this course, you will learn how to install Python and prepare the Jupyter environment. You can run simple commands in Python. You will be taught the basic concepts of time series and the pre-time application of time series. The next section describes time series imaging, analysis, and data preparation for modeling. Data exploration is explained and predictive models are introduced using regression. This tutorial also explains the basic concepts of neural networks. Finally, by creating regression models, you learn classification and neural networks. In this training course, 5 different time series prediction models are created in Python.
Application and implementation of time series prediction models such as AutoRegression, Moving Average, ARIMA, SARIM and
Application of multivariate prediction models based on linear regression and neural networks
Master the implementation, discussion and understanding of the various forecasting models used in companies.
Publisher: Udemy Instructor: Start-Tech Academy elementary level Duration: 13h 10m Number of lessons: 96 lessons English language
Students will need to install Python and Anaconda software but we have a separate lecture to help you install the sameStudents will need to install Python and Anaconda software but we have a separate lecture to help you install the same
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Quality: 720p
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