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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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145 Reviews

CHRISWIN PAUL

Good
2026-02-19

B.Rishi

VERY USEFUL
2026-02-06

Gaddam Indu

It is very useful for everyone
2026-02-06

Limon Hasan

Good
2026-01-25

Swathykrishna V R

Nice
2026-01-22

Neway Shimelis Marine

Best ever
2026-01-21

Tehniat Fatima

Good
2026-01-16

Jawad Hussain

The course was wonderful
2026-01-14

Abhijit Shankar Jadhav

Good
2026-01-12

Mayank

This is good and you can the structure and add the test also
2026-01-12

Yogesh kankirad

Cource was awesome 💯
2026-01-10

Ragul Ragul

Good easy to learn
2026-01-06

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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.