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Real World Machine with Scikit Learn

Course Reviews

Track :

Programming

Lessons no : 5

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What will you learn in this course?
  • Develop machine learning models using Scikit-Learn for classification, regression, and clustering tasks in real-world scenarios
  • Apply data preprocessing, feature engineering, and model evaluation techniques with Scikit-Learn for improved accuracy and performance
  • Implement supervised and unsupervised learning algorithms using Scikit-Learn to solve practical industry problems
  • Utilize Scikit-Learn's tools for model selection, hyperparameter tuning, and deployment in real-world machine learning projects

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 5


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Excellent
1 Reviews
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4.3
11 Reviews
Anshuman Joshi 

great
2025-11-01

QiscetAIDS 

Great
2025-10-22

Shakhawat Hosen 

excellent!
2025-10-08

Sathish Kanaka 

GOOD
2025-09-24

Saad Maycem 

Excellent
2025-09-17

Vishwas Kore 

Good
2025-09-16

Kongala Manoj 

I really enjoyed “Real World Machine Learning with Scikit-Learn.” It’s a clear, hands-on guide that makes complex ideas approachable and ties them to real-world problems. The examples and step-by-step Scikit-Learn demos helped me understand how to build, evaluate, and fine-tune models.
2025-09-11

Nabyendu 

It was very simple and beginner friendly ML course.
2025-09-04

Ashritha 

Very good
2025-08-29

Sonia Farah 

excellent
2025-08-19

Jayasri. K 

Too good
2025-08-15

Ask 

Good
2025-06-25

Show More Reviews

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Sklearn is an open source library which uses the BSD license. It is widely used in industry as well as in academia. It is built on Numpy, Scipy and Matplotlib while also having wrappers around various popular libraries such LIBSVM. Sklearn can be used “out of the box” after installation .