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Machine Learning Techniques

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Develop and implement supervised learning algorithms for predictive modeling and data analysis in real-world applications
  • Identify and apply unsupervised learning techniques to discover patterns and structures in complex datasets
  • Evaluate machine learning models using appropriate metrics to optimize accuracy and performance in practical scenarios
  • Integrate machine learning techniques with data preprocessing, feature engineering, and model tuning for effective solutions

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Lessons | 4

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70 Reviews

Vanshika Patel

Simple and easy to understand
2025-12-25

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Nice
2025-12-10

Bhanu Priya R

simply superb
2025-12-10

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amazing
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Informative
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good lessons
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it was short yet easily understanable
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Machine learning uses two types of techniques: supervised learning, which trains a model on known input and output data so that it can predict future outputs, and unsupervised learning, which finds hidden patterns or intrinsic structures in input data.