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Compare time series predictions of COVID-19 deaths

In this 2-hour long project-based course, you will learn how to preprocess time series data, visualize time series data and compare the time series predictions of 4 machine learning models.You will create time series analysis models in the python programming language to predict the daily deaths due to SARS-CoV-19, or COVID-19. You will create and train the following models: SARIMAX, Prophet, neural networks and XGBOOST. You will visualize data using the matplotlib library, and extract features from a time series data set, perform data splitting and normalization. To successfully complete this project, learners should have prior Python programming experience, a basic understanding of machine learning, and a familiarity of the Pandas library. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Length 2 weeks
Effort 2 hours
Starts Dec 28 (5 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Sherif A. Tawfik Abbas
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming
Tags Data Science Machine Learning

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Rating Not enough ratings
Length 2 weeks
Effort 2 hours
Starts Dec 28 (5 weeks ago)
Cost $9
From Coursera Project Network via Coursera
Instructor Sherif A. Tawfik Abbas
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming
Tags Data Science Machine Learning

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