Machine learning and predictive analytics are transforming the way
that businesses and other organizations operate. Being able to
understand trends and patterns in complex data is critical to success,
and is becoming one of the key strategies for unlocking growth in a
challenging contemporary marketplace. Python can help you deliver key
insights into your data. Its unique capabilities as a language let you
build sophisticated algorithms and statistical models that can reveal
new perspectives and answer key questions that are vital for success.
This video gives you access to the world of predictive analytics and
demonstrates why Python is one of the world’s leading data science
languages. If you want to ask better questions of data, or need to
improve and extend the capabilities of your machine learning systems,
this practical data science courseis invaluable. It coversa wide range
of powerful Python libraries, including scikit-learn, Theano, and Keras,
and featuresguidance and tips on everything from sentiment analysis to
neural networks. With this video,you’ll soon be able to answer some of
the most important questions facing you and your organization.
About the Author
Jason is an avid Python machine learning practitioner, obsessed college football fan, and German Shepherd lover. Jason completed his graduate and undergraduate degrees at Arizona State University. During that time, Jason conducted statistical analysis and visual communication analysis for the Arizona State Football program and was part of a 4-person team that placed 3rd nationally in The Great Minds Challenge: IBM Watson Edition, a collegiate machine learning competition. Jason currently works for TransDev and zTrip where he combines data from multiple enterprise sources to gain actionable insights about customers. Jason also recently taught a Machine Learning workshop for a Fortune 500 company and is currently learning to leverage the Apache Spark ecosystem using both Scala and Python.