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Machine Learning Solutions

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

Product type Paperback

Published in Apr 2018

Publisher Packt

ISBN-13 9781788390040

Length 566 pages

Edition 1st Edition

Languages

Python

Tools

OpenCV

Concepts

Machine Learning

Author (1):

Jalaj Thanaki

View More author details

Table of Contents (19) Chapters

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

Collecting the dataset

In order to build the model, first we need to collect the data. We will use the following two data points:

Dow Jones Industrial Average (DJIA) index prices
News articles

DJIA index prices give us an overall idea about the stock market's movements on a particular day, whereas news articles help us find out how news affects the stock prices. We will build our model using these two data points. Now let's collect the data.

Collecting DJIA index prices

In order to collect the DJIA index prices, we will use Yahoo Finance. You can visit this link: https://finance.yahoo.com/quote/%5EDJI/history?period1=1196706600&period2=1512325800&interval=1d&filter=history&frequency=1d. Once you click on this link, you can see that the price data shows up. You can change the time period and click on the Download Data link and that's it; you can have all the data in .csv file format. Refer to the following screenshot of the Yahoo finance DJIA index price page:

Figure 2.1: Yahoo...

You have been reading a chapter from

Machine Learning Solutions

Published in: Apr 2018

Publisher: Packt

ISBN-13: 9781788390040

© 2018 Packt Publishing Limited All Rights Reserved

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Authors (1)

Jalaj Thanaki

Jalaj Thanaki

Jalaj Thanaki is an experienced data scientist with a demonstrated history of working in the information technology, publishing, and finance industries. She is author of the book Python Natural Language Processing, Packt publishing. Her research interest lies in Natural Language Processing, Machine Learning, Deep Learning, and Big Data Analytics. Besides being a data scientist, Jalaj is also a social activist, traveler, and nature-lover.

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