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Beside this, what is CV in kaggle?

CV means Cross Validation. This is the score in your validation set. In a competition, the LB normally is computed only 20-30 % test data.

Additionally, what is K fold? K-Fold CV is where a given data set is split into a K number of sections/folds where each fold is used as a testing set at some point. Lets take the scenario of 5-Fold cross validation(K=5). This process is repeated until each fold of the 5 folds have been used as the testing set.

Subsequently, question is, how do you say machine learning on a resume?

Enhance the effectiveness of your machine learning resume by structuring the professional experience section using points and grouping similar points under unique subheadings. Do not use “CV” or “Resume” as your resume header. Write your real full name as your resume header. Write the dates in the month and year format.

What is the purpose of cross validation?

Cross Validation is used to assess the predictive performance of the models and and to judge how they perform outside the sample to a new data set also known as test data. The motivation to use cross validation techniques is that when we fit a model, we are fitting it to a training dataset.