Last updated: 6th Jan, 2024 Most machine learning algorithms require numerical input for training the models. Bag of words (BoW)…
Last updated: 5th Jan, 2024 Cohen's Kappa Score is a statistic used to measure the performance of machine learning classification…
Last updated: 4th Jan, 2024 In the realm of machine learning, the emphasis increasingly shifts towards solving real-world problems with…
Last updated: 3rd Jan, 2024 In this post, you will learn about K-fold Cross-Validation concepts used while training machine learning models with…
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This blog is crafted for data scientists, machine learning (ML) and software engineers, business analysts / product managers, and anyone…
Last updated: 30th Dec, 2023 In this post, you will learn about how to use micro-averaging and macro-averaging methods for evaluating scoring metrics (precision,…
Last updated: 29th Dec, 2023 Confusion among data scientists regarding ROC Curve and AUC often stems from misunderstanding their relationship.…
Last updated: 29th Dec, 2023 Classification models are used in classification problems to predict the target class of the data…
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