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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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Outlier Treatment

Contents

2.6.2.1. Trimming
2.6.2.2. Capping
2.6.2.3. IQR
2.6.2.4. SD
2.6.2.5. Quantiles
2.6.2.6. Arbitrary Capping

2.6.2. Outlier Treatment#

2.6.2.1. Trimming#

2.6.2.2. Capping#

2.6.2.3. IQR#

2.6.2.4. SD#

2.6.2.5. Quantiles#

2.6.2.6. Arbitrary Capping#

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2.6.1. Detecting Outliers

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2.7. Hyper Parameter Optimization

Contents

2.6.2.1. Trimming
2.6.2.2. Capping
2.6.2.3. IQR
2.6.2.4. SD
2.6.2.5. Quantiles
2.6.2.6. Arbitrary Capping

By Abenav S

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