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Areas Served: Be Confident in your Machine Learning Models with the help of Cross-Validation
Author(s): Shivamshinde Originally published on Towards AI. Cross-validation is a go-to tool to check if your machine-learning model is reliable enough to work on new data. This article will discuss cross-validation, from why it is needed to how to perform it on …
Unlocking the Power of Cross-Validation
Author(s): Roli Trivedi Originally published on Towards AI. A Comprehensive Guide to Optimizing Model Performance Photo by Gilly on Unsplash Cross-validation is a popular technique in machine learning and statistical analysis that involves dividing a dataset into subsets to assess and validate …
Backtesting Strategy for ML Models
Author(s): Dr. Samiran Bera (PhD) Originally published on Towards AI. A form of cross-validation across time Image Source: corporatefinanceinstitute.com Model performance is critical to any business process and must be validated periodically. To establish the efficacy of model performance, business organizations often …
What is K-Fold Cross Validation?
Author(s): Saikat Biswas Originally published on Towards AI. Image Source: Unsplash K-Fold Cross Validation U+007C Towards AI Importance of K-Fold Cross Validation in Machine Learning One of the most important steps before feeding the data to our model Right before we proceed …
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