Compare time series predictions of COVID-19 deaths
Preprocess time series data for various machine learning models
Visualize time series data
Compare the time series predictions of 4 machine learning models
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.
Skills you will develop
- Time Series Forecasting
- Machine Learning
- Feature Engineering
- Python Programming
- Time Series Models
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Preprocess the data using pandas to be ready for machine learning, and visualize the data using matplotlib
Create a SARIMAX model, optimize the model hyperparameters, use the model for forecasting future COVID-19 deaths and visualize the results
Create a prophet model and use the model for forecasting future COVID-19 deaths and visualize the results
Create a function that extracts features for training the XGBOOST and a feedforward neural network models
Split time series feature dataset into training and test datasets and perform data normalization
Train an XGBOOST model and a feedforward neural network model, and finally compare the predictions of all the models covered in the project
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
Reviews
TOP REVIEWS FROM COMPARE TIME SERIES PREDICTIONS OF COVID-19 DEATHS
Very complete for a small 2 hour project! But Please write some parts of the code on the next project, because the pace is too fast, and the notebooks are empty!
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