Reader small image

You're reading from  Hands-On Predictive Analytics with Python

Product typeBook
Published inDec 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789138719
Edition1st Edition
Languages
Right arrow
Author (1)
Alvaro Fuentes
Alvaro Fuentes
author image
Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.
Read more about Alvaro Fuentes

Right arrow

Practical considerations before modeling

We now have a basic understanding of some of the most important conceptual and theoretical aspects of ML. In this section, we will talk about some of the practical things we need to do before building a model; this includes some further data processing that is needed for feeding the data for model training. We will also introduce our main tool for model building: scikit-learn.

Introducing scikit-learn

If you go to the main web page of scikit-learn, the first things you will read are the following statements about it:

  • Simple and efficient tool for data mining and data analysis
  • Accessible to everybody, and reusable in various contexts
  • Built on NumPy, SciPy, and matplotlib
  • Open source...
lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Hands-On Predictive Analytics with Python
Published in: Dec 2018Publisher: PacktISBN-13: 9781789138719

Author (1)

author image
Alvaro Fuentes

Alvaro Fuentes is a senior data scientist with a background in applied mathematics and economics. He has more than 14 years of experience in various analytical roles and is an analytics consultant at one of the ‘Big Three' global management consulting firms, leading advanced analytics projects in different industries like banking, technology, and consumer goods. Alvaro is also an author and trainer in analytics and data science and has published courses and books, such as 'Become a Python Data Analyst' and 'Hands-On Predictive Analytics with Python'. He has also taught data science and related topics to thousands of students both on-site and online through different platforms such as Springboard, Simplilearn, Udemy, and BSG Institute, among others.
Read more about Alvaro Fuentes