Regularization (L1/L2) and Why Your Models Overfit
Machine learning models can be excellent when tested on the…
Author: Deepak Nagpal
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Confusion Matrix – Precision, Recall, F1, and ROC–AUC: Metrics Without the Math Headache
Accuracy alone can easily mislead the situation significantly, especially in…
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From Dashboards to Decisions: The Rise of Augmented BI
Today, the majority of companies have in place dashboards, however,…
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Train/ Validation/ Test Splits and Data Leakage in Practice
A machine learning model’s effectiveness is heavily reliant on how…
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Agentic and Autonomous AI Agents: What They Are and Why in demand
Agentic and autonomous AI agents are the next big leap…
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Gradient Descent: A Beginner-Friendly Guide to How Models Learn
Most modern ML models—from simple regressions to deep neural networks—learn…
