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MoreeZ / sweng-2022

Regression/Classification/Deep learning based models. We take any regression or classification use case and do our predictions. This is easier said than done. We need to follow all the assumptions of the algorithm that we use. We need to use various algorithms, stacking models. tons of parameter tunings and model use various model evaluation tests. I personally would go for regression model. Note: In all the models, based on the use case chosen a dashboard needs to be created.
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Muticolinearity check #30

Open mingweiiiiiiiiii opened 2 years ago

mingweiiiiiiiiii commented 2 years ago
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All the features now: VIF is < 10. Now 24 features and I need to use feature selection algorithm to acquire the feature importance

mingweiiiiiiiiii commented 2 years ago

I would also generate the feature selection graph and linear graph for each feature in the following days