Machine Learning 101 with Scikit-learn and StatsModels

By: 365 Careers Ltd.

Write A Review

eText | 10 July 2019 | Edition Number 1

At a Glance

Format
PDF

eText

$284.89

or 4 interest-free payments of $71.22 with

Instant online reading in your Booktopia eTextbook Library *

Read online on

Desktop

Tablet

Mobile

Not downloadable to your eReader or an app

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This course will provide you with solid Machine Learning knowledge to help you reach your dream job destination.

Machine Learning is one of the fundamental skills you need to become a data scientist. It's the steppingstone that will help you understand deep learning and modern data analysis techniques.

In this course, we'll explore the three most fundamental machine learning topics such as Linear regression, Logistic regression and Cluster analysis. Even neural networks geeks (like us) can't help but admit that it's these three simple methods that data science revolves around. So, in this course, we make otherwise complex subject matter easy to understand and apply in practice.

Of course, there's only one way to teach these skills in the context of data science—to accompany statistics theory with a practical application of these quantitative methods in Python. And that's precisely what we are after. Theory and practice go hand in hand here.

We've developed this course with not one but two machine learning libraries: StatsModels and sklearn. This is a course you'll be eager to complete.

All the codes and supporting files for this course are available at - https://github.com/PacktPublishing/Machine-Learning-101-with-Scikit-learn-and-StatsModels