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Supervised Machine Learning with Python

Course Reviews

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

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 4


We Appreciate Your Feedback

Excellent
75 Reviews
Good
60 Reviews
medium
7 Reviews
Acceptable
2 Reviews
Not Good
1 Reviews
4.4
145 Reviews
Irshad Ali 

good
2025-11-18

Shaik Taheer 

EXCELLENT
2025-11-11

lokepalli vishnu sai reddy 

good
2025-11-11

Tellapuri mahesh 

good and easy to understand.
2025-11-11

Donku sai kumar 

good
2025-11-10

K.Charan Kumar Reddy 

Good
2025-11-10

Yekasi Sreenath Reddy 

good
2025-11-10

yerigeri keerthi reddy 

This course is full of help full and usefull.
2025-11-10

Prudhvi Reddy 

Good
2025-11-10

Keerthi reddy Yerigeri 

the course is very help full and use full
2025-11-10

Harsh Bhardwaj 

Good for basics
2025-11-08

Vaddepalli Chandu 

Good
2025-11-07

Show More Reviews

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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.