
Packt Publishing – Data Science Supervised Machine Learning In Python 2026
English | Tutorial | Size: 621.11 MB
In this 3-hour course, you’ll master supervised machine learning techniques using Python, including K-Nearest Neighbor (KNN), Naive Bayes, and Decision Trees. You’ll implement algorithms on real datasets like MNIST, fine-tune models, and deploy them as web services for real-world applications.



