Attributes and some Special Method in Python

This notebook provides an introduction to Python attributes, covering the distinction between class and instance attributes. It also explains the purpose and usage of the special methods '__str__' and '__repr__' for controlling object representation as strings.

Pseudo R-square : Understanding Goodness-of-Fit in Logistic Regression

Logistic regression doesn’t use traditional R-squ. like linear regression because binary outcomes require a different approach to measure goodness-of-fit. This blog explores Pseudo R-squ., including McFadden’s, Cox & Snell’s, and Nagelkerke’s metrics, and how they help evaluate logistic regression models effectively.

Encapsulation Hands-On: Advanced

Explore the inner workings of encapsulation in Python, from basic principles to advanced use of properties. Learn how to safeguard data, control access, and write clean, maintainable code using Pythonic conventions like getters, setters, and private attributes.

NLP 101: Text Prepocessing 1 - Tokenization

This blog provides a comprehensive overview of key text preprocessing techniques like tokenization, lemmatization, stemming, stop-word removal, and handling punctuation. It also highlights their importance, practical applications, and limitations, setting a strong foundation for efficient natural language processing workflows.

Encapsulation Hands-On: Basics

Understand the core concept of encapsulation, how to bundle data, protect it from external access, and enforce rules using methods.

NLP 201: Text Prepocessing 2 - Vectorization

This blog breaks down essential methods for converting text into numerical representations for machine learning. It also covers One-Hot Encoding (OHE), Bag of Words (BoW), and TF-IDF, explaining their principles, use cases, and limitations. With clear examples and insights, it serves as a practical guide for building effective NLP models.