Predictive Modeling | Data Science Tutorial in MATLAB, Part 5

Watch the rest of the series: Part 1 - Importing Data: https://youtu.be/lyaIDHyOlFc Part 2 - Preprocessing Data: https://youtu.be/ais_Oj6Fx-E Part 3 - Analyzing Data: https://youtu.be/I1EQx3O2qCk Part 4 - Visualizing Data: https://youtu.be/rLeMOEWkoa8 Part 5 - Predictive Modeling: https://youtu.be/BBtnVjVYI2k Part 6 - Working with Big Data: https://youtu.be/xGzMMkFURb8 Part 7 - Deploying Your Models: https://youtu.be/V5TSA8ED-sE Walk through an example using historical weather data to predict damage costs of future storm events This video illustrates several ways to approach predictive modeling and machine learning with MATLAB. You’ll see how to prepare your data and train and test your model. Learn about the curve fitting, classification, regression apps in MATLAB® that help you easily explore and evaluate models. You’ll also see how you can split your data into training and testing sets, train your models based on that data, and export and test those models. Download the code: https://bit.ly/2lSiCqi -------------------------------------------------------------------------------------------------------- Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2019 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.