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Advanced Statistics for Machine Learning

Track :

Programming

Lessons no : 3

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What will you learn in this course?
  • Master advanced statistical techniques for machine learning model development and evaluation using Python and R
  • Apply probability distributions and hypothesis testing to improve machine learning accuracy and robustness
  • Utilize statistical visualization tools to interpret data patterns and enhance machine learning insights
  • Implement feature selection and dimensionality reduction methods based on statistical analysis for better model performance

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Lessons | 3


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24 Reviews

ulrich delanoe DJE

I found the course to be highly informative and well-structured. The content was presented clearly, and the examples helped reinforce the concepts. The pace was appropriate, and the course materials were easy to follow. Overall, it provided valuable knowledge that I can apply in practice. Thank you for this learning opportunity.
2025-09-05

Yasmi

important course module. I would like to say that, if this video do with more practical works, i think its better.
2025-08-28

Indhumathi

Its really useful
2025-06-19

Abinesh kumar

Nice
2025-04-17

Ayush Patel

nice and super
2025-04-15

Hate Love

Super
2025-04-15

Suraj Kumar

Super
2025-04-15

Priyanga Anbalagan

good
2025-04-15

S Jagajeet

Good
2025-04-15

S. kavin

It was a good session I learned new things
2025-04-15

SANJAY KARTHIGEYAN (RA2311008020135)

Super
2025-04-15

Kaniska.R

GOOD
2025-04-15

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Statistics is a core component of data analytics and machine learning. It helps you analyze and visualize data to find unseen patterns. If you are interested in machine learning and want to grow your career in it, then learning statistics along with programming should be the first step .