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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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Non Linear Models

Contents

4.4.2.1. Polynomial Regression
4.4.2.2. Multivariate Adaptive Regression Splines
4.4.2.3. Quantile Regression

4.4.2. Non Linear Models#

4.4.2.1. Polynomial Regression#

4.4.2.2. Multivariate Adaptive Regression Splines#

4.4.2.3. Quantile Regression#

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4.4.1. Linear Models

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5. Classification Technique

Contents

4.4.2.1. Polynomial Regression
4.4.2.2. Multivariate Adaptive Regression Splines
4.4.2.3. Quantile Regression

By Abenav S

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