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Hands-On Recommendation Systems with Python

You're reading from  Hands-On Recommendation Systems with Python

Product type Book
Published in Jul 2018
Publisher Packt
ISBN-13 9781788993753
Pages 146 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Rounak Banik Rounak Banik
Profile icon Rounak Banik
LinkedIn
Rounak Banik is a Young India Fellow and an ECE graduate from IIT Roorkee. He has worked as a software engineer at Parceed, a New York start-up, and Springboard, an EdTech start-up based in San Francisco and Bangalore. He has also served as a backend development instructor at Acadview, teaching Python and Django to around 35 college students from Delhi and Dehradun. He is an alumni of Springboard's data science career track. He has given talks at the SciPy India Conference and published popular tutorials on Kaggle and DataCamp.
See other products by Rounak Banik

Table of Contents (9) Chapters

Preface 1. Getting Started with Recommender Systems 2. Manipulating Data with the Pandas Library 3. Building an IMDB Top 250 Clone with Pandas 4. Building Content-Based Recommenders 5. Getting Started with Data Mining Techniques 6. Building Collaborative Filters 7. Hybrid Recommenders 8. Other Books You May Enjoy

Setting up the environment

Before we start coding, we should probably set up our development environment. For data scientists and analysts using Python, the Jupyter Notebook is, by far, the most popular tool for development. Therefore, we strongly advise that you use this environment.

We will also need to download the pandas library. The easiest way to obtain both is to download Anaconda. Anaconda is a distribution that comes with the Jupyter software and the SciPy packages (which includes pandas).


You can download the distribution here: https://www.anaconda.com/download/.

The next step is to create a new folder (I'm going to name it RecoSys) in your desired location. This will be the master folder that contains all the code we write as part of this book. Within this folder, create another folder named Chapter2, which will contain all the code we write as part of this chapter...

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Authors (1)

Profile icon Rounak Banik
LinkedIn
Rounak Banik is a Young India Fellow and an ECE graduate from IIT Roorkee. He has worked as a software engineer at Parceed, a New York start-up, and Springboard, an EdTech start-up based in San Francisco and Bangalore. He has also served as a backend development instructor at Acadview, teaching Python and Django to around 35 college students from Delhi and Dehradun. He is an alumni of Springboard's data science career track. He has given talks at the SciPy India Conference and published popular tutorials on Kaggle and DataCamp.
See other products by Rounak Banik

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