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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
  • 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 | 10

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Excellent
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4.4
45 Reviews
Aliha Shahid

it's quite impresive 2025-09-27

Manisha Digra

good 2025-09-21

Afifa Shaikh

good 2025-09-10

Muhammad Dawood

Good 2025-08-11

Md Faiyaz Rizwee

v.nice 2025-08-08

Afnan Shahid

Nice effort keep it up 2025-08-02

Joseph Numo

very great one 2025-08-01

MD alam

Great !! 2025-07-30

ARUN JAIN

Best 2025-07-16

Ajay Kumar Sah

g 2025-07-09

Vikram Vicky

Good learning website 2025-07-04

taha laina

amazing 2025-07-03

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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 .