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...
Recent Posts
Out-of-bag (OOB) score for Ensemble Classifiers in Sklearn
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...
Visualizing Eigenvectors & Eigenvalues using Python
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...
Out-of-bag (OOB) error derivation for Random Forests
The RandomForestClassifier is trained using bootstrap aggregation, where each new tree is fit from a bootstrap sample of the training observations . The out-...
Build a Simple Neural Network with TensorFlow 2.0 in Google Colab
Let’s create a simple XOR based Neural Network with TensorFlow 2.0.