Evaluating and Fine-Tuning Regression Models in Python with Scikit-learn

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Unsupervised Algorithms in Machine Learning

Description

One of the most useful areas in machine learning is discovering hidden patterns from unlabeled data. Add the fundamentals of this in-demand skill to your Data Science toolkit. In this course, we will learn selected unsupervised learning methods for dimensionality reduction, clustering, and learning latent features. We will also focus on real-world applications such as recommender systems with hands-on examples of product recommendation algorithms.Read more.

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