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: Predicting a discrete category (e.g., spam email detection using Logistic Regression or Support Vector Machines). Unsupervised Learning

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: Predicting a continuous number (e.g., forecasting house prices using Linear Regression).

: Used for high-performance scientific computing and handling multi-dimensional arrays. : Predicting a discrete category (e

Probability distributions and hypothesis testing. Phase 3: Machine Learning (ML) Start with "Classical" AI using Scikit-Learn . Supervised Learning: Regression and Classification. Unsupervised Learning: Clustering (K-Means) and PCA.

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The basic multilayer structure used for standard tabular data. Supervised Learning: Regression and Classification

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x = 5 y = 3 print(x + y)

For predicting continuous numerical values (like housing prices) or categorical classifications (like spam vs. not spam).

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To build deep learning models, developers use industry-grade frameworks: not spam). The year was 2042

Efficiently storing and manipulating data using Lists, Dictionaries, Sets, and Tuples.