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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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Types of Variables

Contents

3.3.2.1. Discrete
3.3.2.2. Continuous
3.3.2.3. Nominal
3.3.2.4. Ordinal

3.3.2. Types of Variables#

3.3.2.1. Discrete#

3.3.2.2. Continuous#

3.3.2.3. Nominal#

3.3.2.4. Ordinal#

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3.3.1. Concepts

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3.3.3. Data Distribution

Contents

3.3.2.1. Discrete
3.3.2.2. Continuous
3.3.2.3. Nominal
3.3.2.4. Ordinal

By Abenav S

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