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Hands on Scikit learn for Machine Learning

Track :

Programming

Lessons no : 8

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What will you learn in this course?
  • Develop and implement machine learning models using Scikit-learn for real-world data analysis and prediction tasks
  • Apply data preprocessing, feature selection, and model evaluation techniques with Scikit-learn to optimize machine learning workflows
  • Utilize Scikit-learn algorithms for classification, regression, and clustering to solve diverse data science problems
  • Tune hyperparameters and improve model performance using Scikit-learn’s grid search and cross-validation tools
  • Integrate Scikit-learn with NumPy, SciPy, and matplotlib for comprehensive data analysis and visualization
  • Troubleshoot common issues in machine learning projects and enhance model robustness with Scikit-learn techniques

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Lessons | 8


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Sufyan Afzal 

nice
2025-06-02

Chris depallan 

good
2025-04-08

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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 .