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Python Machine Learning Programming

Track :

Programming

Lessons no : 12

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What will you learn in this course?
  • Develop Python scripts to implement machine learning algorithms for real-world data analysis and prediction tasks
  • Apply Python libraries like scikit-learn, pandas, and NumPy to preprocess and analyze datasets effectively
  • Build and evaluate machine learning models such as classification, regression, and clustering using Python tools
  • Optimize machine learning models for accuracy, efficiency, and scalability in Python environments
  • Implement data cleaning, feature engineering, and model tuning techniques to improve machine learning outcomes
  • Utilize Python to visualize data insights and model performance for better decision-making
  • Troubleshoot common issues in Python machine learning workflows to ensure robust model deployment
  • Integrate Python machine learning models into applications for practical, real-world use cases

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Lessons | 12


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Aswanth Soman

very good
2025-02-27

Arati Ashok Patil

Good Teaching
2023-12-20

Mampati Mbele Elizabeth

Excellent
2023-08-31

Chetan Sanjay Chavam

Good quality teaching
2023-06-11

Pradeep Pandurang Khose

Good services
2022-05-09

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