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Related lectures (28)
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Data Science Visualization with Pandas
Covers data manipulation and exploration using Python with a focus on visualization techniques.
Introduction to Data Science
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Scopes and Lambdas: Data Science with Python
Covers scopes, lambdas, and pandas in data science with Python, including nested declarations, scoping, assignments, and pandas manipulation.
Untitled
Structures and Mechanisms: Opening a Box
Explores the analysis of structures and mechanisms through a sample problem of opening a box with a string-held lid.
Python Modules and Pandas
Introduces Python modules, scoping, lambdas, and pandas for data manipulation and analysis.
Generative Models: Self-Attention and Transformers
Covers generative models with a focus on self-attention and transformers, discussing sampling methods and empirical means.
Python Programming: File Handling and Exceptions
Explores file handling and exceptions in Python programming, covering reading, writing, and error handling strategies.
Advanced Pandas Functions
Focuses on advanced pandas functions for data manipulation, exploration, and visualization with Python, emphasizing the importance of understanding and preparing data.
Python Lists: Manipulation and Comprehension
Covers Python list manipulation and comprehension, emphasizing memory representation and mutability.
