Author: Sayan Mukhopadhyay
ISBN-13: 978-1-4842-3449-5
Total Pages: 195
Size: 2.25MB
Description:
In this book, I assume that you are familiar with Python programming. In this introductory chapter, I explain why a data scientist should choose Python as a programming language. The I highlight some situations where Python is not a good choice. Finally, I describe some good practices in application development and give some coding examples that a data scientist needs in their day to day job.
Table of Contents:
Chapter 1 - Introduction
Chapter 2 - ETL with Python (Structured Data)
Chapter 3 - Supervised Learning Using Python
Chapter 4 - Unsupervised Learning: Clustering
Chapter 5 - Deep Learning and Neural Networks
Chapter 6 - Time Series
Chapter 7 - Analytics at Scale
Chapter 2 - ETL with Python (Structured Data)
Chapter 3 - Supervised Learning Using Python
Chapter 4 - Unsupervised Learning: Clustering
Chapter 5 - Deep Learning and Neural Networks
Chapter 6 - Time Series
Chapter 7 - Analytics at Scale