Structuring Data for Machine Learning
Learn to structure data for consumption by machine learning algorithms.
Andrew Davis
- Instructor
Offered by
Offered by
Description
Put your Python skills into action with several real-world applications. Create an event-driven graphical desktop application with the built-in Python Graphical User Interfaces (GUI) library.
Learn to write code to connect to SQL and NoSQL databases and dive deeper into Object-Oriented Programming.
Develop a client/server application using sockets and network programming and create a web application using Python technology on the server.
While creating these applications, master tricky language features like generators and lambdas.
Topics Include
- Establish a work environment conducive to data science
- Extract data from databases, APIs, and web scraping
- Preprocess and clean data
- Address data fairness
- Normalize data
- Retrieve information from data
- Format data for machine learning
Pricing in US Dollars. Conversion rates may apply. World Bank eligibility may be available. Email PDSolutions@uah.edu to see if your country qualifies. Proof of country’s citizenship required.
- Online
- Intakes: On Demand
Meet your Instructor
Christopher Cantrell is an engineer at Vertiv. Mr. Cantrell has authored many feature articles, presenting interesting and educational embedded software and hardware projects, in Circuit Cellar magazine and has presented twice at the JavaOne Conference in San Francisco.
In addition to earning a Master of Science degree in Electrical Engineering from the University of Alabama, Mr. Cantrell is a certified Java Developer and a Certified Ethical Hacker.
He has taught undergraduate electrical engineering and computer science courses at the University of Alabama and has been an instructor with UAH’s PD Solutions for 15 years.