Book Image

Become a Python Data Analyst [Video]

By : Alvaro Fuentes
Book Image

Become a Python Data Analyst [Video]

By: Alvaro Fuentes

Overview of this book

The Python programming language has become a major player in the world of Data Science and Analytics. This course introduces Python’s most important tools and libraries for doing Data Science; they are known in the community as “Python’s Data Science Stack”. This is a practical course where the viewer will learn through real-world examples how to use the most popular tools for doing Data Science and Analytics with Python. All the resource files are added to the GitHub repository at:
Table of Contents (6 chapters)
Chapter 6
Introduction to Predictive Analytics Models
Content Locked
Section 2
The Scikit-Learn Library – Building a Simple Predictive Model
Introduce the Scikit-Learn library and show the workflow traditionally used to build a Predictive Model with this library. - Give an introduction to Scikit-Learn - Learn the steps used in Scikit-Learn to build a supervised ML model - Build a simple Predictive Model, and we will use it to make predictions