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Machine Learning Algorithms Programming

Track :

Programming

Lessons no : 7

For Free Certificate After Complete The Course

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What will you learn in this course?
  • Develop Python scripts to implement core machine learning algorithms for data analysis and prediction tasks using libraries like scikit-learn and TensorFlow
  • Apply R programming skills to build and evaluate machine learning models for sentiment analysis and natural language processing applications
  • Utilize Java to develop scalable machine learning solutions for security, threat detection, and real-time data processing environments
  • Analyze and preprocess datasets effectively to improve machine learning model accuracy and performance across different programming languages
  • Integrate machine learning algorithms into real-world applications such as NLP, sentiment analysis, and cybersecurity systems
  • Evaluate model performance using appropriate metrics and optimize algorithms for better accuracy and efficiency

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Lessons | 7


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Deborah

Good 2025-04-30

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most of the machine learning engineers prefer to use Python for NLP problems while also preferring to use R or Python for sentiment analysis tasks, and some are likely to use Java for other machine learning applications like security and threat detection .