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Tag Archives: Data Preparation

How to Identify Outliers in your Data

Last Updated on August 16, 2020 Bojan Miletic asked a question about outlier detection in datasets when working with machine learning algorithms. This post is in answer to his question. If you have a question about machine learning, sign-up to the newsletter and reply to

An Introduction to Feature Selection

Last Updated on August 15, 2020 Which features should you use to create a predictive model? This is a difficult question that may require deep knowledge of the problem domain. It is possible to automatically select those features in your data that are most useful

Data Leakage in Machine Learning

Last Updated on August 15, 2020 Data leakage is a big problem in machine learning when developing predictive models. Data leakage is when information from outside the training dataset is used to create the model. In this post you will discover the problem of data