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Machine Learning with scikit learn

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Track :

Programming

Lessons no : 10

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What will you learn in this course?
  • Implement data preprocessing techniques using scikit-learn for improved model accuracy and reliability
  • Apply supervised and unsupervised machine learning algorithms with scikit-learn for real-world data analysis
  • Evaluate model performance using scikit-learn metrics such as accuracy, precision, recall, and F1 score
  • Develop predictive models for classification and regression tasks with scikit-learn tools
  • Utilize scikit-learn pipelines for streamlined data transformation and model training workflows
  • Optimize machine learning models through hyperparameter tuning and cross-validation techniques

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
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  • The Certificate is free !
Lessons | 10

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Excellent
34 Reviews
Good
34 Reviews
medium
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Acceptable
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4.3
75 Reviews
PRANAV SRIKRISHNAN 

Good course
2026-04-14

S.R.Shubarna Rekha 

good
2026-04-08

Dilip Ojha 

good
2026-03-30

Moni Moni 

It's very useful
2026-03-29

yeesha gayathri 

THE COURSE WAS VERY HELPFUL
2026-03-28

TADI VISHMITHA SRI T 

Good
2026-03-25

Penmetsa Janani Naga Uma Akshaya Chandana 

good
2026-03-23

Ashlesha Tare 

I like this
2026-03-15

sritha munipalli 

GUD
2026-03-12

Hitesh Baradia 

good
2026-03-11

MANE PRANALI PRAKASH 

Super
2026-03-07

Done Laxmi Bhavani 

Good
2026-03-06

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Scikit-learn is a Python library used for machine learning. More specifically, it's a set of – as the authors say – simple and efficient tools for data mining and data analysis. The framework is built on top of several popular Python packages, namely NumPy, SciPy, and matplotlib .