🌊 Pip: Deep Dive & Best Practices
Concise, clear, and validated revision notes on Pip installer for Python — structured for beginners and practitioners.
Kalyan Narayana
🌊 Conda: Deep Dive & Best Practices
Concise, clear, and validated revision notes on Conda — structured for beginners and practitioners.
🌊 Pandas: Deep Dive & Best Practices
Concise, clear, and validated revision notes on Pandas — structured for beginners and practitioners.
🌊 NumPy: Deep Dive & Best Practices
Concise, clear, and validated revision notes on NumPy — structured for beginners and practitioners.
🌊 MySQL: Deep Dive & Best Practices
Concise, clear, and validated revision notes on MySQL — structured for beginners and practitioners.
🧭 DSML: Machine Learning Lifecycle - Comprehensive Guide
Concise, clear, and validated Comprehesive guide revision notes on Machine Learning Lifecycle, MLOps, Metrics, Code Snippets — structured for beginners and practitioners.
📘 DSML: Deep Learning Metrics
Concise, clear, and validated revision notes on Machine Learning, Deep Learning, and Data Science Metrics — structured for beginners and practitioners.
☑️ DSML: MLOps Lifecycle Checklist
A validated and novice-friendly master checklist for the DSML lifecycle — Plan, Data, Model, and Deploy — aligned with Google, AWS, and Microsoft MLOps frameworks.
📘 DSML: Machine Learning Workflow & Lifecycle Illustrated
Concise, clear, and validated revision notes on the end-to-end Machine Learning Lifecycle — phases, checklists, pitfalls, and trusted references.
📘 DSML: Machine Learning Metrics
Concise, clear, and validated revision notes on Machine Learning, Deep Learning, and Data Science Metrics — structured for beginners and practitioners.