Created
September 23, 2019 16:08
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| - what is bias and variance in your model | |
| - too much bias - add features | |
| - too much variance - remove features, add data, ridge or lasso (regularization) | |
| - ridge L2 - reduce the impact of your features | |
| - lasso L1 - feature selection | |
| - cross validation - use new data for validating model | |
| - kfold, train_test_split |
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