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Related lectures (26)
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Working with Strings
Covers the basics of working with strings in C, including reading, copying, comparing, and converting strings, along with examples and quizzes.
Data Modeling: Concepts and Applications
Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.
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.
Named Entity Recognition: Applications and Techniques
Explores Named Entity Recognition, its uses, techniques, and applications in information extraction.
Teaching with Jupyter Notebooks
Introduces Jupyter notebooks for teaching sciences, focusing on visualizing angles and forces in physics problems.
NLP Pre-processing: Tokenization, Stop Words, Lemmatization
Covers tokenization, stop words removal, and lemmatization for NLP tasks.
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