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Machine Learning Algorithms

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Develop and implement key machine learning algorithms for classification, regression, and clustering tasks using real-world datasets
  • Analyze and select appropriate algorithms based on data characteristics and project goals in machine learning applications
  • Optimize machine learning models through parameter tuning, cross-validation, and feature engineering techniques
  • Evaluate model performance using metrics like accuracy, precision, recall, and F1 score in practical scenarios
  • Apply machine learning algorithms to solve problems in various industries such as healthcare, finance, and marketing
  • Integrate machine learning models into software applications for real-time data analysis and decision-making

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Lessons | 6

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33 Reviews

Venkat Venkatesan

Super
2026-03-19

Akhila Boinapally

good
2026-03-17

BOLLAGANI RESHMA B

good
2026-03-17

Akshita Bhargava

good
2026-03-16

Manish Singh

good
2026-03-12

K Dhritika

Good
2026-03-08

Priyanshu Raj

good
2026-03-06

vaishnavi patil

The course was good, its interesting and even teaching is very good thanks sir
2026-02-17

Anshul Tripathi

It was very great , The pace was good , The only thing that was a bit tough was implementation of the Models by Python for beginners it is not very friendly , but teaching and Learning process was smooth
2026-02-09

Carin Tamryn Pelston

Good work
2026-01-21

Vanshika Patel

The course was crisp and clear.
2025-12-30

Jay Gadher

good
2025-12-13

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It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make .