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Models with Machine Learning and Python

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Develop machine learning models using Python libraries like scikit-learn, TensorFlow, and Keras for real-world data analysis
  • Implement data preprocessing, feature engineering, and model evaluation techniques to improve machine learning accuracy in Python
  • Build and optimize deep learning neural networks with Python for tasks such as image recognition and natural language processing
  • Apply Python coding skills to develop scalable machine learning solutions for diverse industry applications
  • Utilize Python tools to visualize data, model performance, and insights for effective communication of machine learning results
  • Troubleshoot and fine-tune machine learning models in Python to enhance performance and reliability in practical scenarios

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Lessons | 6


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hamouda souha 

good
2025-08-02

ADARSH AJAY 

Good
2023-12-26

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Most scientists have adopted Python for Machine Learning and Deep Learning projects, which means most of the brightest minds worldwide, can be found in Python communities. Fast development: Python has a syntax that is easy to understand and friendly .