Complete hands-on guide to implementing Machine Learning Algorithm in Python including ANN, CNN & RNN
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Basics of Python (Introduction to Spyder & Jupyter Notebook)
Numpy (•Introduction to the Library •Nd-array Object •Data Types •Array Attributes •Indexing and Slicing •Array Manipulation)
Pandas (•Introduction to the Library •Series Data Structures •Pandas Data Frame •Pandas Basic Functionality • Crash Course – Data Visualization • Crash Course – ScikitLearn)
Tensorflow (•Introduction to the Library •Basic Syntax •Tensorflow Graphs •Variable Place Holders •Neural Network •Tensorboard)
Seaborn (•Distribution Plots •Categorical Plots •Regression Plots •Style and Color)
This comprehensive Data Science: Supervised Machine Learning Bootcamp 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.
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What you need before starting this Data Science: Supervised Machine Learning Bootcamp in Python course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Apex Education
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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