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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 Explainability

2.8. Model Explainability#

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

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2.7.3. Bayesian Search

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2.8.1. Local Explainability

By Abenav S

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