Learn modern machine learning, deep learning, and data science skills
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Develop complete machine learning/deep learning solutions in Python
Write and test Python code interactively using Jupyter notebooks
Build, train, and test deep learning models using the popular Tensorflow 2 and Keras APIs
Neural network fundamentals by building models from the ground up using only basic Python
Manipulate multidimensional data using NumPy
This comprehensive Practical Machine Learning by Example in Python 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 Practical Machine Learning by Example in Python course:
This course is perfect for:
Everything you need to know about this online course, from duration to certification
Course Instructor
Madhu Siddalingaiah
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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