Created by Manuel Amunategui | Last updated 12/2019
Duration: 1.5 hours | Video: h264, 1280x720 | Audio: AAC, 44 KHz, 2 Ch | 916 MB
Genre: eLearning | Language: English + Sub | 8 lectures
In this class I'll show you how easy it is to take those Python ideas and extend them into a useful, professional, actionable web application using Flask, HTML responsive templates and some sensible UI design - as that's really the heart of all this - we want to translate or even shed our programming, statistics, Jupyter notebook navigation into the universal language that is the web that everybody knows how to use, how to interact with.
Learn how to extend your Python ideas into full fledged web applications
Share Python machine learning models with the world
You should know some Python and HTML and have an interest in building web applicationsWe'll build a health-awareness web application to predict life expectancy. This is an interactive tool to show you what is your average life expectancy at your current age and using additional parameters. It uses statistics, real localized data, and has a minimal UI, and is fully responsive - are you ready to build things that matter?
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Who this course is for:
You should have some exposure to Python and have access to Jupyter notebooks
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