Category Course Articles

S28L01 -Updated template with GridSearchCV

S28L02 -RandomizedSearchCV

S29L01 -ROC, AUC and PR curve background

S29L02 -ROC, AUC – Evaluating best model

S29L03 – ROC, AUC – Calculating the optimal threshold (Youdens method)

S29L04 – ROC, AUC – Calculating the optimal threshold (best Accuracy method)

S29L06 – CAP curve implementation

S29L07 – CAP curve with multiple models and multi-class

S30L01 -Voting classifier

S31L01 – Model deployment basics

S31L02 – Prediction using value

S34L01 -Basics of recommendation systems

S34L02 – Preparing the data

S34L03 – The pivot table

S34L04 -Extracting correlations

S34L05 -Providing recommendations

S34L06 -Testing recommendations

S35L01 – Getting started with Apriori algorithm

S35L02 – Market basket optimization

S36L01 – Unsupervised learning

S36L02 – K-means clustering

S36L03 – Optimal clusters

S36L04 – The Elbow method

S36L05 – K-means clustering in Python

S36L06 -Visualization