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Become a Python Data Analyst

You're reading from Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

Product type Paperback

Published in Aug 2018

Publisher Packt

ISBN-13 9781789531701

Length 178 pages

Edition 1st Edition

Languages

Python

Tools

Pandas

Concepts

Data Analysis

Author (1):

Alvaro Fuentes

View More author details

Table of Contents (8) Chapters

Preface

1. The Anaconda Distribution and Jupyter Notebook FREE CHAPTER

2. Vectorizing Operations with NumPy

3. Pandas - Everyone's Favorite Data Analysis Library

4. Visualization and Exploratory Data Analysis

5. Statistical Computing with Python

6. Introduction to Predictive Analytics Models

7. Other Books You May Enjoy

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Introduction to Predictive Analytics Models

In this chapter, we will take a closer look at the following topics:

Predictive analytics
Machine learning
The scikit-learn library
How to build a classification and a regression model

The rest of the chapter is locked

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Authors (1)

Alvaro Fuentes

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.

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