supervised learning
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Understanding and addressing the key elements of machine learning is critical to the success of any project involving this technology.  But why do key elements of machine learning are important? Why are we discussing about it? Machine Learning (ML) is transforming industries, making complex tasks easier, and unlocking new possibilities across various domains. Whether you're aware of it or not, ML has probably touched your life in some way, from personalized recommendations on streaming platforms to self-driving cars.  It is necessary for efficient project communication, planning, and implementation. At every stage of the machine learning lifecycle, it aids stakeholders—including data…

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I. Introduction to Machine Learning AlgorithmsII. Supervised Learning Algorithms1. Linear Regression2. Logistic Regression3. Decision Trees and Random Forests4. Support Vector Machines (SVM)5. K-Nearest Neighbors (KNN)III. Unsupervised Learning AlgorithmsKey Characteristics of…

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Before looking at both of them — first, we need to understand why the emergence of these two technologies was needed for…

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We live in a world where people have no time for automated messages, calls, or even automated marketing for that…

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