PYTHON UNDERSTANDING MACHINE LEARNING-THEOS

PYTHON UNDERSTANDING MACHINE LEARNING-THEOS

PLURALSIGHT PYTHON UNDERSTANDING MACHINE LEARNING-THEOS
Size - 114.26 MB



T H E O S O P H I A
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Understanding Machine Learning with Python
Release notes:
Date.........: May 19, 2016
Size.........: 08x15mb
Url..........: http://bit.ly/1Tje0hu
Type.........: Bookware
Descrion:
When working with data, machine learning can be used to do
incredible things, including predicting future events. Its ease of
use combined with the power of scikit-learn is causing Python to
become the preferred development language for many machine learning
practitioners. In this course, Understanding Machine Learning with
Python, you will learn how Python developers and data scientists use
machine learning to predict the likelihood of events based on data.
Throughout this course, you will use Python and the scikit-learn
library. Specifically, you will learn how to format your problem to
be solvable, how to prepare your data for use in a prediction, and
finally how to combine that data with algorithms to create models
that can predict the future, all performed in the Jupyter Notebook
environment. By the end of this course, you will have a better
understanding of how machine learning can help you put your data to
good use in predicting future events, and you'll also know how to
use Pyt
Install notes:
Unpack, burn/mount and go learning
Greetings:
To all the groups who brings quality - you know who you are




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