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🧠 Zero to Hero : Text Vectorization

Apr 13, 20258 min read

🧠 Zero to Hero : Stopword Removal, POS Tagging, Lemmatization & Stemming

Apr 13, 20255 min read

Understanding Root Mean Squared Logarithmic Error ( RMSLE )

Explaination A. What is RMSLE? RMSLE is an evaluation metric used for regression problems. It measures the ratio-based difference between predicted and actual values rather than absolute differences. RMSLE is especially useful when: You care more ab...

May 7, 20252 min read

🔍 Zero to Hero: Tokenization in NLP – From Basics to Subword Models

Apr 8, 20257 min read

Mastering LSTM and GRU

Apr 8, 20251 min read

🧠 From Zero to Hero : Mastering Recurrent Neural Networks (RNNs)

let's dive into the wonderful world of Recurrent Neural Networks (RNNs) — from the ground up to becoming a hero with a deep understanding of how they work, the challenges they face, and how to use them in real-world applications, especially in natura...

Apr 8, 20258 min read

Understanding Git Local and Remote: A Beginner’s Guide

Git is an essential tool for developers, allowing them to manage code efficiently and collaborate effectively. In this blog, we’ll explore two fundamental concepts in Git: local and remote, and we’ll also introduce you to Learn Git Branching, an exce...

Dec 26, 20245 min read

Iterative Imputer V/S KNN Imputer

1. Iterative Imputer How it works: Imputes missing values by modeling each feature with missing values as a function of the other features. Uses regression (e.g., linear, decision trees) to predict missing values iteratively. Repeats the process ...

Dec 16, 20242 min read

Performance Metrics For Regression Task

1. Mean Squared Error (MSE) Explanation Mean Squared Error (MSE) measures the average squared difference between estimated and actual values. It gives higher weight to larger errors due to squaring. Mathematical Formula MSE = (1/n) * ∑[(y_i - ŷ_i)^2]...

Dec 15, 202411 min read

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