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AI recommendation systems analyze user behavior and preferences to predict and suggest personalized content and products.
Collaborative filtering predicts your preferences by comparing your tastes with similar users, much like asking friends for movie recommendations.
Logistic regression predicts categorical outcomes like spam detection. This tutorial builds a binary classification model from scratch using Python and NumPy.
Linear regression is a simple machine learning tool that finds a best-fit straight line to make predictions based on observed data patterns.
Logistic regression is a classification algorithm used to predict binary outcomes. It's simple, interpretable, and widely applied for tasks like spam detection and medical diagnosis.
Learn to deploy machine learning models using Flask, from environment setup to making API predictions, making AI integration simple and accessible.