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Problem Solving for Machine Learning

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Identify key challenges in machine learning problem solving and select appropriate techniques for different scenarios
  • Apply language detection algorithms to classify text by language accurately in real-world datasets
  • Evaluate machine learning models for language identification using metrics like accuracy, precision, and recall
  • Implement preprocessing steps to improve language detection performance in noisy or multilingual data
  • Troubleshoot common issues in machine learning workflows related to language detection and classification
  • Integrate machine learning solutions into applications for multilingual text analysis and natural language processing

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Lessons | 6


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Angelyah Madugula

Good
2025-12-11

Jimuel Simbul

The course is very informative.
2025-10-05

Durgadevi V

This is very helpful for my knowledge
2025-08-09

Valentine Moushi Gomes

A little complex but good
2025-06-25

G DILEEP

i have learnt
2024-06-09

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All (or most) providers have solutions to these problems. Some are more advanced than others on a given topic, but there is no clear winner in all areas today. Some of the problems that can be easily solved today are: Language detection: know in which language a text is written .