Get up and running with the Jupyter ecosystem and some example datasets
Learn about key machine learning concepts like SVM, KNN classifiers and Random Forests
Discover how you can use web scraping to gather and parse your own bespoke datasets

Description

Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. You'll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world. We'll finish up by showing you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context.

Who is this book for?

This book is ideal for professionals with a variety of job descriptions across large range of industries, given the rising popularity and accessibility of data science. You'll need some prior experience with Python, with any prior work with libraries like Pandas, Matplotlib and Pandas providing you a useful head start.

What you will learn

Get up and running with the Jupyter ecosystem and some example datasets
Learn about key machine learning concepts like SVM, KNN classifiers, and Random Forests
Plan a machine learning classification strategy and train classification, models
Use validation curves and dimensionality reduction to tune and enhance your models
Discover how you can use web scraping to gather and parse your own bespoke datasets
Scrape tabular data from web pages and transform them into Pandas DataFrames
Create interactive, web-friendly visualizations to clearly communicate your findings

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Gabriel Abdulai Nov 02, 2021

The book was in an excellent shape, like new.I definitely recommend this seller.

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Richard E. West May 22, 2020

I'm about 20% in and find this book poorly organized and concepts only marginally explained. This could be a case of an author knowing the subject too well and forgetting how to explain it to others.

The Reviewer Jan 04, 2020

Used this book for a college course. YouTube is better. At least it's reasonably priced. Okay for a beginner.

Poet1103 Sep 29, 2018

This book packs a lot into a small space! You will need some basic knowledge of python to benefit from all examples/labs.

Andrew Aug 20, 2018

There are lots of great Python tutorials out there, and as somebody who has already worked through ‘Automate the Boring Stuff with Python’ I wanted a book to show me how to get started with data science without going over all of the basics of the language again. This book is ideal for that. It shows you step-by-step how to get up and running with Jupyter, and then works through Python data science libraries that I’d heard of before but never actually used. The whole thing feels like it was written for a classroom environment as it’s got lots of step-by-step example and activities, which works quite well given the subject matter.

Beginning Data Science with Python and Jupyter: Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data

What do you get with eBook?