Beginner Data Science and Machine Learning Bootcamp
Learn Data Science and Machine Learning fast and easy!
In this hands-on course, you’ll dive deep into text analysis and unsupervised learning techniques to transform raw data into meaningful insights. Start by learning how to create and preprocess your own dataset, then explore powerful vectorization techniques to transform text into numerical data.
Visualize your findings with dynamic word clouds and gain advanced insights by reducing data dimensionality using Principal Component Analysis (PCA). Finally, master unsupervised classification by implementing K-means clustering to uncover hidden patterns and groupings within your data.
Whether you're exploring natural language processing, data science, or machine learning, this course equips you with practical skills to analyze and classify data like a pro. Enroll now to elevate your expertise!
Your Instructor
Alexandra Kropf is Mammoth Interactive's CLO and a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.
Mammoth Interactive is a leading online course provider in everything from learning to code to becoming a YouTube star. Mammoth Interactive courses have been featured on Harvard’s edX, Business Insider and more.
Over 12 years, Mammoth Interactive has built a global student community with 4 million courses sold. Mammoth Interactive has released over 350 courses and 3,500 hours of video content.
Founder and CEO John Bura has been programming since 1997 and teaching
since 2002. John has created top-selling applications for iOS, Xbox and
more. John also runs SaaS company Devonian Apps, building
efficiency-minded software for technology workers like you.
Course Curriculum
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Start00. Intro To Course And Python (9:57)
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Start01. Variables (19:19)
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Start02. Type Conversion Examples (10:06)
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Start03. Operators (28:54)
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Start04. Collections (8:24)
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Start05. List Examples (19:41)
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Start06. Tuples Examples (8:36)
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Start07. Dictionaries Examples (14:26)
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Start08. Ranges Examples (8:32)
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Start09. Conditionals (6:43)
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Start10. If Statement Examples (21:32)
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Start11. Loops (29:42)
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Start12. Functions (17:01)
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Start13. Parameters And Return Values Examples (13:54)
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Start14. Classes And Objects (34:11)
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Start15. Inheritance Examples (17:29)
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Start16. Static Members Examples (11:05)
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Start17. Summary And Outro (4:08)