Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.
About This Book
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
Who This Book Is 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
Identify potential areas of investigation and perform exploratory data analysis
Description:
Getting started with data science doesn't have to be an uphill battle. This step-by-step guide is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction.
About This Book
Who This Book Is 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