Released 1/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 2h 28m | Size: 606 MB
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. It’s widely used in web development, data analysis, scientific computing, artificial intelligence, and automation. Python’s versatility and large community support make it an excellent language to kickstart your programming journey. This course offers a hands-on approach to building your Python skills through a series of practical projects from scratch. Hone your expertise in areas such as data analysis, machine learning, web scraping, and more.
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About the Instructor
Shaun is a Senior Software Developer who specializes in Full-stack development and Software Architecture. He manages teams of developers, as well as teaches many hundreds of thousands more how to create enterprise-ready applications.
Shaun’s online courses have over 300,000 learners largely because of his passion for development and his focus on helping people apply their programming skills in the real world. He is a life-long programmer and problem-solving addict whose goal is to help people solve meaningful problems by mastering the art of software development. Please don’t hesitate to get in touch with him about any opportunities or if you’d like to stay up to date on his other courses and live trainings.
Skill Level
Intermediate-Advanced
What You Will Learn
Each project will include some different aspect of data science/ machine learning with Python that it will be both accessible and engaging while you advance your skill set.
Perform Sentiment Analysis on real-world text
Work with Image Recognition Tools
Scrape Basic Data from Websites
And much more!
Who Should Take This Course
Job titles
Software developer, Data analyst/scientist, Machine Learning Engineer, Web Developer, DevOps Engineer.
Course Requirements
Prerequisites
Python experience and app development background
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