## ML Metrics: Sensitivity vs. Specificity

In this video we talk about Sensitivity and Specificity - two key concepts for evaluating Machine Learning methods. These make it easier to choose which meth...

In this video we talk about Sensitivity and Specificity - two key concepts for evaluating Machine Learning methods. These make it easier to choose which meth...

In the previous video we saw how OOB_Score keeps around 36% of training data for validation.This allows the RandomForestClassifier to be fit and validated wh...

Eigenvalue & eigenvector are probably one of the most important concepts in linear algebra. Who can expect a simple equation like Av = λv is so signific...

The RandomForestClassifier is trained using bootstrap aggregation, where each new tree is fit from a bootstrap sample of the training observations . The out-...

Let’s create a simple XOR based Neural Network with TensorFlow 2.0.