Data Science Essentials Advanced Algorithms and Visualizations [Video]
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-VisualizationsStyle 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.
|Course Length||1 hours 50 minutes|
|Date Of Publication||29 Jul 2018|