A beginners guide to learn Machine Learning from scratch. Learn various algorithms and techniques using ML libraries.
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Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Learn how to use NumPy to do fast mathematical calculations
Learn what is Machine Learning and Data Wrangling
Learn how to use scikit-learn for data-preprocessing
Learn different model selection and feature selections techniques
Learn about cluster analysis and anomaly detection
This comprehensive Step by Step Guide to Machine Learning curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Step by Step Guide to Machine Learning course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
EdYoda Digital University
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Professional Course
Investment around $74.99
Pricing may vary. Check the course provider for current promotions and exact pricing.
Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
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