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Data Science Demystified

Data_Science_Demystified

1. Mathematics Fundamentals
2. ML Problem Approach
3. Statistics
4. Regression
5. Classification Technique
6. Recommendation System
7. Unsupervised Learning
8. Time Series Analysis
9. Deep Learning
10. NLP
11. DS Project Management Framework
12. MLOps

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Model Validation

2.9.4. Model Validation#

This chapter outlines the importance of Model Validation, the different methods that exist and how to leverage them

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2.9.3. Learning Curves

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3. Statistics

By Abenav S

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