Python Machine Learning Blueprints: Intuitive data projects by Alexander Combs

By Alexander Combs

Key Features

  • Put laptop studying rules into perform to unravel real-world problems
  • Get to grips with Python's remarkable variety of laptop studying libraries and frameworks
  • From retrieving information from APIs to cleansing and visualization, develop into extra convinced at tackling each level of the knowledge pipeline

Book Description

Machine studying is remodeling the best way we comprehend and have interaction with the area round us. yet how a lot do you actually are aware of it? How convinced are you interacting with the instruments and versions that force it?

Python desktop studying Blueprints places your talents and information to the try, guiding you thru the advance of a few outstanding computing device studying purposes and algorithms with real-world examples that exhibit how one can placed recommendations into practice.

You'll methods to use cluster options to find cut price air fares, and practice linear regression to discover your self an inexpensive residence – and masses extra. every thing you research is subsidized by means of a real-world instance, no matter if its facts manipulation or statistical modelling.

That approach you are by no means left floundering in idea – you will be easily accumulating and reading info in a fashion that makes a true impact.

What you are going to learn

  • Explore and use Python's amazing laptop studying ecosystem
  • Successfully assessment and observe the simplest types to problems
  • Learn the basics of NLP - and positioned them into practice
  • Visualize information for optimum effect and clarity
  • Deploy desktop studying types utilizing 3rd social gathering APIs
  • Get to grips with characteristic engineering

About the Author

Alexander T. Combs is an skilled info scientist, strategist, and developer with a history in monetary facts extraction, average language processing and iteration, and quantitative and statistical modeling. he's presently a full-time lead teacher for an information technology immersive application in long island City.

Table of Contents

  1. The Python desktop studying Ecosystem
  2. Build an App to discover Underpriced Apartments
  3. Build an App to discover affordable Airfares
  4. Forecast the IPO industry utilizing Logistic Regression
  5. Create a customized Newsfeed
  6. Predict even if Your content material Will cross Viral
  7. Forecast the inventory marketplace with computing device Learning
  8. Build a picture Similarity Engine
  9. Build a Chatbot
  10. Build a suggestion Engine

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