Performance Measures -Part 1

When we say that “model is ready”, there should be some techniques or methods to evaluate the readiness of it and to deploy in the production.We are going to learn below techniques to find out the ways to evaluate the machine learning model. Confusion Matrix Accuracy Precision Recall F1 Score Read more…

Difference between Boosting and Bagging

Ensemble learning needs to be discussed before knowing the difference of Bagging and Boosting. Sometimes, it is not sufficient to depend upon the results of just one machine learning model. Ensemble models combine the predictive power of multiple weak learners. The resultant is a single model which gives the aggregated Read more…

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