Covers supervised and unsupervised learning, model evaluation, and real-world projects.
A practical guide to machine learning using Python libraries like scikit-learn.
Covers supervised and unsupervised learning, model evaluation, and real-world projects.
1. Introduction to ML\r\n2. Data Preprocessing\r\n3. Supervised Learning\r\n4. Unsupervised Learning\r\n5. Model Deployment
Dr
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