Build Your AI Foundation with Python, Data Science, Math & Machine Learning Basics
What you will learn
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Write clean Python code for AI applications using variables, loops, functions, and OOP
Analyze and manipulate data with Pandas and NumPy
Visualize datasets using Matplotlib and Seaborn
Understand core math concepts like linear algebra and calculus for AI
Apply probability theory and statistics to AI problem-solving
Explain how machine learning models work and are trained
Build and evaluate basic ML models using Scikit-learn
Develop a solid foundation to pursue advanced AI and ML topics
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