So now we have reached Step#6 of the Data Science Process i.e. Machine Learning Modeling.
In this section of the data science series, we dive into machine learning fundamentals, explaining how it fits within the data science process. This video covers key differences between machine learning and traditional programming, the main types of machine learning (including classification, regression, clustering, and dimensionality reduction), and practical strategies for choosing algorithms. You'll gain insight into the entire machine-learning workflow, from data preparation to model selection and evaluation.
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