This class was created by Brainscape user Mahsa Zamanifard. Visit their profile to learn more about the creator.
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Mahsa Zamanifard
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Decks in this class (22)
External: Dealing with Skewness
No deck description has yet been added by the author.
4
cards
External: Dealing With Outliers
No deck description has yet been added by the author.
3
cards
Outlier Identification and Removal
No deck description has yet been added by the author.
6
cards
How to Mark and Remove Missing Data
No deck description has yet been added by the author.
14
cards
What Is Feature Selection
No deck description has yet been added by the author.
15
cards
How to Select Categorical Input Features: Encoding and K-best
No deck description has yet been added by the author.
5
cards
How to Select Numerical Input Features
No deck description has yet been added by the author.
3
cards
How to Select Features for Numerical Output
No deck description has yet been added by the author.
7
cards
How to Use RFE for Feature Selection
No deck description has yet been added by the author.
9
cards
How to Use Feature Importance
No deck description has yet been added by the author.
13
cards
How to Scale Numerical Data
No deck description has yet been added by the author.
14
cards
How to Scale Data With Outliers
No deck description has yet been added by the author.
3
cards
How to Encode Categorical Data
No deck description has yet been added by the author.
15
cards
How to Make Distributions More Gaussian
No deck description has yet been added by the author.
7
cards
How to Change Numerical Data Distributions
No deck description has yet been added by the author.
8
cards
How to Transform Numerical to Categorical Data: Suitable For Highly Skewed or Non-Standard Distribution
No deck description has yet been added by the author.
13
cards
How to Derive New Input Variables: Polynomial Feature Transform
No deck description has yet been added by the author.
12
cards
How to Transform the Target in Regression
No deck description has yet been added by the author.
6
cards
How to Save and Load Data Transforms: how to save a model and data preparation object to file for later use
No deck description has yet been added by the author.
4
cards
What is Dimensionality Reduction
No deck description has yet been added by the author.
14
cards
How to perform LDA, PCA, SVD
No deck description has yet been added by the author.
12
cards
SHAP values-Kaggle
No deck description has yet been added by the author.
4
cards
More about
data prep
- Class purpose General learning
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