Python Classes Virginia Beach, VA

In this course, students expand their Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. The course begins with linear and logistic regressions, the most time-tested and reliable tools for approaching a machine learning problem. Students then progress to algorithms with a different theoretical basis, such as k-nearest neighbors, decision trees, and random forest. This will bring important statistical concepts to the forefront, such as bias, variance, and overfitting. Participants also learn how to measure the accuracy of your models, as well as tips for choosing effective features and algorithms.

Learn the essential skills and tools to become a Python Developer. This beginner-friendly course teaches students Python for software development with Django and Django REST in addition to other developer tools such as Git and SQL. After completing this certificate, students will be able to apply for the following roles: Python Developer, Back End Developer, Software Engineer, and many more.

The Fullstack Academy Artificial Intelligence & Machine Learning bootcamp provides current and prospective data professionals with the in-demand skills to specialize in this lucrative, dynamic, and rapidly-growing field. Over 26 weeks part-time, students will learn practical and theoretical machine learning concepts using real-world tools—graduating with the working knowledge and experience needed to qualify for a range of data roles, including those concentrated in AI. Students will also receive professional career coaching support for up to a year following graduation to help build and maintain an ideal, specialized career path in the industry.

Create dashboards and other interactive visualizations with Python and its libraries in this hands-on course. Participants will also learn how to deploy projects online using Heroku server and GitHub.

This introductory Python Programming course covers data types, writing functions, mathematical and datetime modules, and string formatting. Once the basics are covered, it dives into flow control such as loops, list comprehensions, enumerations, and is-is not operators. Finally, it takes a look at using virtual environments, command lines, and file processing to execute Python files.

Advanced Python Programming covers lambda functions, mapping & filtering, sorting, and advanced topics such as mutable and immutable built-in objects. This course also introduces topics such as inheritance, attributes, methods, and properties. You'll apply what you've learnt by using an API to get data from a website, saving it into a CSV, and cleaning it up using Python.

Apply Python skills to your data science career in this five-day intermediate course. Software engineers, data scientists, and data engineers all benefit from this course. Specific course topics include a Python review, iPython fundamentals, numpy number sets, scipy subpackages, panda dataframes, matplotlib plots, the Python image library, seaborn data visualization, SciKit classification, TensorFlow overview, PySpark, and Spark SQL, MLib, and streaming.

Explore some Python programming basics in this three-day, beginner-level course. Participants learn how to write professional-grade programs that optimize workflow and empower decision makers. Specific course topics include a Python overview, linguistic basics, sophisticated operations and types, control structures, information statements, functions, classes, and modules.

Learn Python basics like functions, unit testing, and features in this four-day introductory course. Participants learn how to use this simple yet powerful programming language to solve everyday problems. Specific course topics include a Python introduction, syntax basics, types, collections, functions, classes, error messages, I/O files, Pyramid web applications, Python iterations, NoSQL, ORM, and Mongo databases, redistributables, and debugging procedures.