by Alberto Boschetti, Luca Massaron | Released July 2018 | ISBN: 9781789616057

Become an efficient data science practitioner by understanding Python's key concepts About This VideoQuickly get familiar with data science using Python 3.6Save 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 experienceIn DetailThis 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 Show and hide more

1. Chapter 1 : Advanced Machine Learning
   • The Course Overview 00:02:28
   • Support Vector Machine 00:07:02
   • Ensemble Strategies 00:13:23
   • Dealing with Big Data 00:11:46
   • Approaching Deep Learning 00:06:39
   • A Peek at Natural Language Processing (NLP) 00:07:28
2. Chapter 2 : Social Network Analysis
   • Introduction to Graph Theory 00:04:23
   • Graph Algorithms 00:10:56
   • Graph Loading, Dumping, and Sampling 00:03:09
3. Chapter 3 : Visualization, Insights, and Results
   • Introducing the Basics of Matplotlib 00:16:00
   • Wrapping Up Matplotlib's Commands 00:10:24
   • Interactive Visualizations with Bokeh 00:02:48
   • Advanced Data-learning Representations 00:14:04
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