Book Image

Python Machine Learning Blueprints - Second Edition

By : Alexander Combs, Michael Roman
Book Image

Python Machine Learning Blueprints - Second Edition

By: Alexander Combs, Michael Roman

Overview of this book

Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects.
Table of Contents (13 chapters)

IFTTT integration with feeds, Google Sheets, and email

We used Pocket to build our training set, but now we need a streaming feed of articles to run our model against. To set this up, we'll use IFTTT once again, as well as Google Sheets, and a Python library that will allow us to work with Google Sheets.

Setting up news feeds and Google Sheets through IFTTT

Hopefully, you have an IFTTT account set up at this point, but if not, go ahead and set that up now. Once that is done, you'll need to set up integration with feeds and with Google Sheets:

  1. First, search for feeds in the search box on the home page, then click on Services, and click to set that up:
  1. You'll just need to click Connect:
  1. Next, search for...