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Related lectures (30)
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Python Modules and Pandas
Introduces Python modules, scoping, lambdas, and pandas for data manipulation and analysis.
Recursive Functions: Examples and Applications
Explores recursive functions, including factorials and Fibonacci sequences, and their scope and namespaces.
Boolean Types and Control Structures
Explores boolean types, logical operators, and control structures in Python, emphasizing the evaluation of expressions and the use of relational operators.
Numerical Analysis: Introduction to Computational Methods
Covers the basics of numerical analysis and computational methods using Python, focusing on algorithms and practical applications in mathematics.
Decision Tree Classification
Covers decision tree classification using KNIME Analytics Platform for data preprocessing and model creation.
Python Crash Course
Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.
Dictionary Operations
Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.
IoT Revolution: Industry 4.0
Discusses the influence of IoT platforms on Industry 4.0.
Python Object Exercises
Covers Python object exercises with basic syntax questions and practical quizzes.
Data Analysis Techniques: Amplitude Shift Keying and Graphical Methods
Covers amplitude shift keying and various data analysis techniques using Jupyter Notebooks.
