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Machine Learning Solutions

You're reading from   Machine Learning Solutions Expert techniques to tackle complex machine learning problems using Python

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788390040
Length 566 pages
Edition 1st Edition
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Author (1):
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Jalaj Thanaki Jalaj Thanaki
Author Profile Icon Jalaj Thanaki
Jalaj Thanaki
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Table of Contents (19) Chapters Close

Machine Learning Solutions
Foreword
Contributors
Preface
1. Credit Risk Modeling 2. Stock Market Price Prediction FREE CHAPTER 3. Customer Analytics 4. Recommendation Systems for E-Commerce 5. Sentiment Analysis 6. Job Recommendation Engine 7. Text Summarization 8. Developing Chatbots 9. Building a Real-Time Object Recognition App 10. Face Recognition and Face Emotion Recognition 11. Building Gaming Bot List of Cheat Sheets Strategy for Wining Hackathons Index

The best approach


In this section, we will look at the implementation of the best approach. We will also discuss the structure of the code. So, without wasting time, let's begin with the implementation. You can find the code by using this GitHub link: https://github.com/jalajthanaki/medical_notes_extractive_summarization/tree/master/Best_approach.

Implementing the best approach

The steps you need to take in order to implement the code are provided in the following list:

  1. Understanding the structure of the project

  2. Understanding helper functions

  3. Generating the summary

Let's start with the first step.

Understanding the structure of the project

The structure of the project is quite important here. There will be four different files in which we will be writing code. You can see the structure of the project in the following figure:

Figure 7.15: Structure of the project's code files

There are four code files. I will explain their usage one by one:

  • Contractions.py: This file contains an extensive list of all...

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