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Machine Learning Python

Track :

Programming

Lessons no : 15

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What will you learn in this course?
  • Master Python syntax and libraries for effective machine learning model development and deployment
  • Implement data preprocessing, feature engineering, and data visualization techniques using Python for AI projects
  • Build, train, and evaluate machine learning algorithms such as regression, classification, and clustering models in Python
  • Utilize popular Python frameworks like TensorFlow, scikit-learn, and Keras for AI and machine learning applications
  • Apply Python to solve real-world problems through AI-driven data analysis and predictive modeling
  • Optimize machine learning models for accuracy, efficiency, and scalability using Python tools and techniques
  • Integrate Python-based machine learning models into web and mobile applications for practical AI deployment
  • Troubleshoot and debug Python code for machine learning projects to ensure robust and reliable AI solutions

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Lessons | 15

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Ayush Tiwari

Many are private
2023-05-24

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2022-05-12

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Benefits that make Python the best fit for machine learning and AI-based projects include simplicity and consistency, access to great libraries and frameworks for AI and machine learning (ML), flexibility, platform independence, and a wide community. These add to the overall popularity of the language.