Data Science Essentials Advanced Algorithms and Visualizations [Video]

More Information
Learn
  • 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
  • Explore and cluster graphs, taking advantage of interconnections and links in your data
About

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

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.

Features
  • 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
Course Length 1 hours 50 minutes
ISBN 9781789616057
Date Of Publication 29 Jul 2018

Authors

Alberto Boschetti

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.

Luca Massaron

Luca Massaron is a data scientist and marketing research director specialized in multivariate statistical analysis, machine learning, and customer insight, with over a decade of experience of solving real-world problems and generating value for stakeholders by applying reasoning, statistics, data mining, and algorithms. From being a pioneer of web audience analysis in Italy to achieving the rank of a top-10 Kaggler, he has always been very passionate about every aspect of data and its analysis, and also about demonstrating the potential of data-driven knowledge discovery to both experts and non-experts. Favoring simplicity over unnecessary sophistication, Luca believes that a lot can be achieved in data science just by doing the essentials.