4 Hours of Video Instruction Code-along sessions move you from introductory machine learning concepts to concrete code. Overview Machine learning is moving from futuristic AI projects to data analysis on your desk. You need to go beyond following along in discussions to coding machine learning tasks. These videos avoid heavy mathematics to focus on how to turn introductory machine learning concepts into concrete code using Python, scikit-learn, and friends.
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2.5 Hours of Video Instruction Explore Python's capabilities for Data Science and Machine Learning, the topics of greatest import these days in the tech world. Python has risen to popularity as one of the most versatile and beginner-friendly programming languages. Its simplicity, readability, and extensive libraries make it a powerful language for a wide variety of different domains.
9+ Hours of Video Instruction While there are resources for Data Science and resources for Machine Learning, there's a distinct gap in resources for the precursor course to Data Science and Machine Learning. This complete video course fills that gap--it is specifically designed to prepare students to learn how to program for Data Science and Machine Learning with Python. This is the antidote to the over-complicated universe of these hot new, growing technologies.
4+ Hours of Video Instruction With more than 4 hours of video instruction, learn how to refactor effectively in the Python programming language, gain all the basics to begin improving and simplifying your software designs, and refactor mercilessly.Overview In Refactoring in Python Live Lessons, Bryan Beecham shows developers how to recognize problems in their code, how to make needed changes to create high-quality software that can be rapidly developed, and how to refactor effectively in the Python
Practice your Python Skills with 100+ Python Exercises and Check your Solutions with Step-by-Step Video Explanations.
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