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Data Science Essentials Advanced Algorithms and Visualizations

Video Description

Become an efficient data science practitioner by understanding Python's key concepts

About This Video

  • Quickly get familiar with data science using Python 3.6
  • Save time (and effort) with all the essential tools explained
  • Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience

In Detail

This course will make you look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. We start with SVM and random forest for classification and regression. We look at big data, deep learning, and language processing. Then we use graph analysis techniques for very interesting and trending social media analytics. Finally, we take a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment tools that make it easier to present your results to an audience of both data science experts and business users.

All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/Data-Science-Essentials-Advanced-Algorithms-and-Visualizations