The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Understand supervised machine learning (classification and regression) with real-world examples using Scikit-Learn
Understand and code using the Numpy stack
Make use of Numpy, Scipy, Matplotlib, and Pandas to implement numerical algorithms
Understand the pros and cons of various machine learning models, including Deep Learning, Decision Trees, Random Forest, Linear Regression, Boosting, and More!
This comprehensive Deep Learning Prerequisites: The Numpy Stack in Python (V2+) 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 Deep Learning Prerequisites: The Numpy Stack in Python (V2+) course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Lazy Programmer Inc.
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.
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