Chandradip BanerjeeMulticollinearity-If two features in a dataset are highly correlated then which one should Chose.If two features in a dataset are highly correlated, it may lead to multicollinearity in certain models, which can make the estimates of the…Apr 21Apr 21
Chandradip BanerjeeP value and Feature SelectionP value and Feature SelectionSep 20, 2023Sep 20, 2023
Chandradip BanerjeeCorrelation and CovarianceCorrelation and covariance are two statistical measures that quantify the relationship between two variables. While they are related…Jul 2, 2023Jul 2, 2023
Chandradip BanerjeeTreating missing valuesTreating missing values is an essential step in data preprocessing before applying machine learning algorithms. Here are some common…Jul 2, 2023Jul 2, 2023
Chandradip BanerjeeBagging and BoostingBagging and boosting are two popular ensemble learning techniques used in machine learning to improve the performance of predictive models…Jun 21, 2023Jun 21, 2023
Chandradip BanerjeeANOVA and Chi-SquareANOVA (Analysis of Variance) and Chi-Square are statistical tests used in different contexts and for different purposes. Let’s discuss each…Jun 21, 20231Jun 21, 20231
Chandradip BanerjeeShallow copy and deep copy are two different approaches to copying objects or data structures.Shallow Copy:Jun 21, 2023Jun 21, 2023
Chandradip BanerjeeWhat is and When to use precession, recall and f1 scorePrecision, recall, and F1 score are commonly used evaluation metrics in machine learning, particularly for classification tasks. Here’s a…Jun 21, 2023Jun 21, 2023
Chandradip BanerjeeWhen to use Multinomial Naive Bayes (MultinomialNB) and Gaussian Naive Bayes (GaussianNB)Multinomial Naive Bayes (MultinomialNB) and Gaussian Naive Bayes (GaussianNB) are two commonly used variants of Naive Bayes algorithm…Apr 11, 2023Apr 11, 2023
Chandradip BanerjeePassive Aggressive Classifier (PAC)Passive Aggressive Classifier (PAC) is a type of online learning algorithm used for binary classification in machine learning. It is…Apr 11, 2023Apr 11, 2023
