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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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Optimization

1.3. Optimization#

This section outlines the principles and foundational concepts from Optimization that form the backbone behind developing the modern algorithms

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1.2.5. Applications in Data Science

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2. ML Problem Approach

By Abenav S

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