Python Data Science Essentials [Video]

Python Data Science Essentials [Video]

Alberto Boschetti, Luca Massaron

1 customer reviews
Become an efficient data science practitioner by understanding Python's key concepts
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Video Description

The Python Data Science Essentials video series takes you through all you need to know to succeed in data science using Python. Get insights into the core of Python data, including the latest versions of Jupyter Notebook, NumPy, Pandas and scikit-learn. In this course, you will delve into building your essential Python 3.6 data science toolbox, using a single-source approach that will allow to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and prepare for machine learning and visualization techniques.

The code bundle for the video course is available at - https://github.com/PacktPublishing/Python-Data-Science-Essentials

Style and Approach

The course is structured as a data science project. You will always benefit from clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.

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What You Will Learn

  • Set up your data science toolbox using a Python scientific environment 
  • Get data ready for your data science project
  • Manipulate, fix, and explore data in order to solve data science problems
  • Set up an experimental pipeline to test your data science hypotheses
  • Choose the most effective and scalable learning algorithm for your data science tasks
  • Optimize your machine learning models to get the best performance

Authors

Video Details

ISBN 139781789538526
Course Length3 hours 15 minutes
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