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This Only Applies to SupervisedLearning Introduction If you’re like me then you probably like a more intuitive way of doing things. When it comes to machine learning, we often have that one (or two or three) “go-to” model(s) that we tend to rely on for most problems. STEP 1: Install the lazypredict library.
Differentiate between supervised and unsupervised learning algorithms. Supervisedlearning algorithms learn from labelled data, where each input is associated with a corresponding output label. What is cross-validation, and why is it used in Machine Learning?
Machine Learning algorithms are trained on large amounts of data, and they can then use that data to make predictions or decisions about new data. There are three main types of Machine Learning: supervisedlearning, unsupervised learning, and reinforcement learning.
Clustering: An unsupervised Machine Learning technique that groups similar data points based on their inherent similarities. Cross-Validation: A model evaluation technique that assesses how well a model will generalise to an independent dataset.
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