Feature-Engineering-Part3

Smpling-ImbalancDatasets-FeatureCreation-3

Feature Engineering part 3.

1.Different Types of Sampling Techniques(Probability Sampling,Non-Probability Sampling).

2.Techniques to Handle Imbalanced Datasets(Under-Sampling Techniques,Over-Sampling Techniques).

3.Feature Creation in Machine Learning(Polynomial Features Creation,Feature Creation from Text Dataset).

4.Model Selection in Machine Learning(No Free Lunch Theorem,Resampling,Probabilistic measures).

5.Machine Learning Pipeline(SKlearn Pipelines,Google Cloud AutoML,Azure AutoML,Auto-Sklearn,AutoKeras).

Detail: