Learn when to use transform and when to use fit_transform in scikit-learn.
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Baeldung Author
Emmanuella Budu
Emmanuella Budu is a Researcher, specializing in Artificial Intelligence for Healthcare with a focus on Electronic Health Records (EHRs). Her research centers on harnessing machine learning to advance precision medicine, enhance treatment options, and optimize healthcare service delivery. Emmanuella has extensive hands-on experience in research methodologies, machine learning, data analysis, visualization tools, software engineering, and internet and network technologies
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Baeldung on Computer Science
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How Does UMAP Dimensionality Reduction Work?
Filed under Data Science
Learn how UMAP (Uniform Manifold Approximation and Projection) works and how to interpret UMAP plots.
How to Interpret a t-SNE plot?
Filed under Math and Logic
Learn how to make and interpret t-SNE plots.
Common Causes of NaNs During Training
Filed under Machine Learning
NaNs can occur during training ML models and mess it up. In this article, we learn the common causes and fixes we can apply.
How to Choose Between Pearson and Spearman Correlation?
Filed under Data Science
Explore the Pearson and Spearman correlation coefficients and when to use them.
What’s the Difference Between Cross-Entropy and KL Divergence?
Filed under Machine Learning
Explore the differences between the cross entropy and KL divergence.
Bagging, Boosting, and Stacking in Machine Learning
Filed under Machine Learning
Learn about three techniques for improving the performance of ML models: boosting, bagging, and stacking, and explore their Python implementations.
Differences Between Servers and Desktops
Filed under Networking
Learn more about the differences between servers and desktops.
What’s a Non-trainable Parameter?
Filed under Machine Learning
Learn how to work with non-trainable parameters