2026.01.17
Chapter 2: Python for AI/ML: A Deep Dive
Learn the basics of Python for AI/ML, setting up an environment and understanding core concepts.
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2026.01.17
Chapter 3: Data Science Toolkit: NumPy, Pandas, Matplotlib
Learn the essential libraries for data science: NumPy, Pandas, and Matplotlib. Understand their core functionalities and why they are indispensable.
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Chapter 5: Your First Steps with Python: The Language of AI
Learn Python basics and set up your environment to start building AI applications.
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Chapter 6: Getting Data Ready: Basic Data Manipulation in Python
Learn how to use Pandas for data manipulation in Python, essential for preparing data for machine learning models.
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Chapter 13: Data Preparation & Feature Engineering for Production
Learn how to prepare data and engineer features for production-ready machine learning models.
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Data Manipulation and Analysis: NumPy, Pandas, and Visualization for AI
A comprehensive guide to leveraging NumPy, Pandas, Matplotlib, and Seaborn for data science, from foundational concepts to advanced techniques, with a …
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Pandas Comprehensive Learning Guide
A comprehensive guide for web developers to learn Pandas, a powerful Python library for data analysis and manipulation.
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