Python (programming language)

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Related lectures (392)

Named Entity Recognition: Applications and Techniques

Explores Named Entity Recognition, its uses, techniques, and applications in information extraction.

Social Network Analysis: Friendship Relations

Introduces social network analysis through Python code modeling friendship relations.

Projects Presentation & Logistics

Covers the presentation of 4 projects in the course and related logistics.

Python Basics: Functions and Lists

Introduces Python basics, functions, lists, and lambda functions for concise coding.

Programming Fundamentals: Lists and Imports

Delves into Python lists, slicing, functions, and imports for code sharing.

Python Programming Basics

Covers the basics of Python programming, including input/output operations, loops, and conditional statements.

Feature Extraction & Clustering Methods

Covers feature extraction, clustering, and classification methods for high-dimensional datasets and behavioral analysis using PCA, t-SNE, k-means, GMM, and various classification algorithms.

Introduction to Jupyter Notebook

Introduces setting up the environment, Git basics, and Jupyter Notebook features with practical examples.

Rebuttal Process in Academic Conferences

Explores the academic conference rebuttal process, emphasizing data analysis for paper acceptance, machine learning, and statistical tests.

Statistical Signal Processing for Wireless Communications

Introduces statistical signal processing tools for wireless communications, emphasizing practical applications and hands-on experience with Python or Matlab.

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