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Data Science with Python[Instructor Edition]

You're reading from Data Science with Python[Instructor Edition] Combine Python with machine learning principles to discover hidden patterns in raw data

Product type Hardcover

Published in Jul 2019

Publisher

ISBN-13 9781838552862

Length 426 pages

Edition 1st Edition

Languages

Python

Tools

Combine

Concepts

Data Science

Authors (4):

Mohamed Noordeen Alaudeen

Rohan Chopra

Aaron England

Lakshay Sharma

View More author details

Table of Contents (10) Chapters

About the Book

1. Introduction to Data Science and Data Pre-Processing FREE CHAPTER

2. Data Visualization

3. Introduction to Machine Learning via Scikit-Learn

4. Dimensionality Reduction and Unsupervised Learning

5. Mastering Structured Data

6. Decoding Images

7. Processing Human Language

8. Tips and Tricks of the Trade

1. Appendix

Dimensionality Reduction and Unsupervised Learning

Learning Objectives

By the end of this chapter, you will be able to:

Compare hierarchical cluster analysis (HCA) and k-means clustering
Conduct an HCA and interpret the output
Tune a number of clusters for k-means clustering
Select an optimal number of principal components for dimension reduction
Perform supervised dimension compression using linear discriminant function analysis (LDA)

This chapter will cover various concepts that fall under dimensionality reduction and unsupervised learning.

The rest of the chapter is locked

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Authors (4)

Mohamed Noordeen Alaudeen

Mohamed Noordeen Alaudeen

Mohamed Noordeen Alaudeen is a lead data scientist at Logitech. Noordeen has 7+ years of experience in building and developing end-to-end BigData and Deep Neural Network Systems. It all started when he decided to engage the rest of his life for data science. He is Seasonal data science and big data trainer with both Imarticus Learning and Great Learning, which are two of the renowned data science institutes in India. Apart from his teaching, he does contribute his work to open-source. He has over 90+ repositories on GitHub, which have open-sourced his technical work and data science material. He is an active influencer( with over 22,000+ connections) on Linkedin, helping the data science community.

See other products by Mohamed Noordeen Alaudeen

Rohan Chopra

Rohan Chopra

Rohan Chopra graduated from Vellore Institute of Technology with a bachelors degree in computer science. Rohan has an experience of more than 2 years in designing, implementing, and optimizing end-to-end deep neural network systems. His research is centered around the use of deep learning to solve computer vision-related problems and has hands-on experience working on self-driving cars. He is a data scientist at Absolutdata.

See other products by Rohan Chopra

Aaron England

Aaron England

Aaron England earned a Ph.D from the University of Utah in Exercise and Sports Science with a cognate in Biostatistics. Currently, he resides in Scottsdale, Arizona where he works as a data scientist at Natural Partners Fullscript.

See other products by Aaron England

Lakshay Sharma

Lakshay Sharma

Lakshay Sharma is a data scientist at Absolutdata. He graduated from Shiv Nadar University with a degree in Computer Science and Engineering. He has been heavily involved in AI research since his undergrad years and is currently working with the Machine Intelligence group at IIT Delhi. Lakshay has also completed a Machine Learning Engineer Nanodegree from Udacity. He also has over 2 years of experience solving real-world problems using Machine Learning/Deep Learning in the corporate and Legal-Tech domain.

See other products by Lakshay Sharma

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