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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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Hypothesis Generation

2.1. Hypothesis Generation#

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

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2. ML Problem Approach

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2.1.1. Hypothesis Introduction

By Abenav S

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