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Monetizing Machine Learning

Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

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Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book—Amazon, Microsoft, Google, and PythonAnywhere.

You will work through a series of common Python data science problems in an increasing order of complexity. The practical projects presented in this book are simple, clear, and can be used as templates to jump-start many other types of projects. You will learn to create a web application around numerical or categorical predictions, understand the analysis of text, create powerful and interactive presentations, serve restricted access to data, and leverage web plugins to accept credit card payments and donations. You will get your projects into the hands of the world in no time.

Each chapter follows three steps: modeling the right way, designing and developing a local web application, and deploying onto a popular and reliable serverless cloud provider. You can easily jump to or skip particular topics in the book. You also will have access to Jupyter notebooks and code repositories for complete versions of the code covered in the book.

This book aims to bridge the gap between data science and applied data science.

What You’ll Learn:

  • Extend your machine learning models using simple techniques to create compelling and interactive web dashboards
  • Leverage the Flask web framework for rapid prototyping of your Python models and ideas
  • Create dynamic content powered by regression coefficients, logistic regressions, gradient boosting machines, Bayesian classifications, and more
  • Harness the power of TensorFlow by exporting saved models into web applications
  • Create rich web dashboards to handle complex real-time user input with JavaScript and Ajax to yield interactive and tailored content
  • Create dashboards with paywalls to offer subscription-based access
  • Access API data such as Google Maps, OpenWeather, etc.
  • Apply different approaches to make sense of text data and return customized intelligence
  • Build an intuitive and useful recommendation site to add value to users and entice them to keep coming back
  • Utilize the freemium offerings of Google Analytics and analyze the results
  • Take your ideas all the way to your customer's plate using the top serverless cloud provider

Over a Dozen Practical Projects, Here Are They Highlights

Predicting Bikes, Titanic, Wine…

  • Bike Rental Demand using Regression Coefficients and Microsoft Azure
  • Surviving the Titanic Shipwreck - Experiment with Passenger Profiles on Google Cloud
  • Can You Design a Top-Rated Wine? Predicting Wine Quality on Amazon Web Services
Wall Street, Crime, Golf… More Predicting

  • Wall Street & Pair Trading on PythonAnywhere For Web & Mobile
  • Where Will Crime Happen Next in San Francisco? Build a Predictive Mapping Dashboard using Google Maps and Microsoft Azure
  • Whether or not You Will Golf Tomorrow Using Real-Time Weather Prognostics on Amazon Web Services
Tensorflow, Dynamic Charts, Movies… Can't Go Wrong

  • Guess My Number with TensorFlow. Let's Build a Dashboard to Enable Visitors to Draw and Predict Digits using TensorFlow Image Classification on Google Cloud
  • Displaying Dynamic Stock Charts on PythonAnywhere
  • What to Watch Next? Recommending Movies on Google Cloud
Area Under the Curve, Wikipedia, AB Testing… Yes!

  • Ham vs Spam and the Cost of Eliminating all Spam Messages on Microsoft Azure. Easily Explain Complex Topics with Interactive Web
  • A Fundamental Financial Information Service. Trading on PythonAnywhere
  • Simple A/B Testing on PythonAnywhere and MySQL
Making Money, 'Nuff Said

  • Brief Look at PayPal, Stripe, and Memberful
  • Trading on PythonAnywhere, Paywall Support!
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Machine Learning Entrepreneurship - Master Class on Applied Data Science

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