### What is Elastic-net? Why is it better in comparison to Ridge and Lasso?

Elastic net uses a weighted combination of the L1 and L2 penalties that are used in both LASSO and Ridge regression, respectively.

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LASSO performs feature selection by shrinking the coefficients of variables to zero

If a primary interest is to conduct automatic variable selection, only LASSO can do that.

One of the main drawbacks of deep learning is that it is more prone to overfitting

C (regularization parameter), Kernel Function, Gamma (RBF kernel)

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- Machine Learning 101 (30)
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- Logistic Regression (10)
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- Discriminant Analysis (5)
- Classification Evaluations (9)

- Classification & Regression Trees (CART) (23)

- Unsupervised Learning (55)
- Clustering (28)
- Distance Measures (9)
- Dimensionality Reduction (9)

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- General (5)
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