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Supervised Machine Learning with Python

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Master implement supervised machine learning algorithms using Python for real-world data analysis and prediction tasks
  • Utilize Python libraries like scikit-learn, pandas, and NumPy to preprocess data and build accurate machine learning models
  • Evaluate model performance with metrics such as accuracy, precision, recall, and F1 score to optimize AI and ML solutions
  • Apply best practices in Python for deploying scalable, efficient, and reliable supervised machine learning applications

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Lessons | 4


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100 Reviews

Md Faizan uddin

Very good 2025-10-01

Muhammad Latif

nice course 2025-09-24

Kishore A

The teaching way is good 2025-09-21

Siri Chandana Polina

good 2025-09-20

Shivaram P

Nice 2025-09-17

Excellent 2025-09-07

Chaudhary Manjula (Mi)

good course .tnx 2025-09-06

Emisha E

good 2025-09-04

Daniel Fransisco Perangin-angin

Cool 2025-08-31

Dnyaneshwari Nitin Lohgale

Good 2025-08-29

Asadullah Creative

This course is really good 2025-08-25

Naman Boyat

It's very excellent and good for learning 2025-08-23

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Benefits that make Python the best fit for machine learning and AI-based projects include simplicity and consistency, access to great libraries and frameworks for AI and machine learning (ML), flexibility, platform independence, and a wide community. These add to the overall popularity of the language.