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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

Understanding the dataset

In this section, we will understand the meaning of data attributes, which will help us understand what kind of dataset we are going to deal with and what kind of preprocessing is needed for the dataset. We understand our dataset in two sections, and those sections are given as follows:

Understanding the DJIA dataset
Understanding the NYTimes news article dataset

Understanding the DJIA dataset

In the DJIA dataset, we have seven data attributes. They are quite easy to understand, so let's look at each of them one by one:

Date: The first column indicates the date in the YYYY-MM-DD format when you see data in the .csv file.
Open: This indicates the price at which the market opens, so it is the opening value for the DJIA index for that particular trading day.
High: This is the highest price for the DJIA index for a particular trading day.
Low: This is the lowest price for DJIA index for a particular trading day.
Close: The price of DJIA index at the close of the trading...

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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