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Mathematics statistics and machine learning

Course Reviews

Track :

Programming

Lessons no : 12

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What will you learn in this course?
  • Master statistical concepts essential for machine learning including probability, hypothesis testing, and regression analysis
  • Apply descriptive and inferential statistics to analyze real-world data sets effectively
  • Implement key machine learning algorithms using statistical methods and tools in Python or R
  • Evaluate model performance using statistical metrics such as accuracy, precision, recall, and F1 score
  • Utilize statistical techniques to preprocess, clean, and visualize data for machine learning projects
  • Develop predictive models by integrating statistical analysis with machine learning workflows
  • Interpret statistical results to make data-driven decisions in practical machine learning applications
  • Design experiments and validate models using statistical validation techniques and cross-validation methods

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 12


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4
2 Reviews
Aliha Shahid

it's quite impresive 2025-09-27

ulrich delanoe DJE

I found this course very informative and well-structured. The content was clear, and the examples helped me understand the concepts better. I appreciate the practical exercises which reinforced my learning. Thank you for providing this valuable resource! 2025-08-31

Shoukat Ali

thanks 2025-04-23

Karthik Krishna

Good 2025-04-19

Tamil Selvan s

THIS EXPERIENCE WITH MIND LUSTER IS GREAT AND USEFULLY FOR MY FUTURE STUDIES 2025-04-16

SRIKANTH PERUMAL (RA2311008020140)

Nice 2025-04-16

Sivaneshwaran b

Good 2025-04-15

Mutthiah

nice 2025-04-15

Akash G

Good 2025-04-15

Dhayanithi Venget N S

Good 2025-04-15

Sree Suryanath BJ

nice 2025-04-15

Dhabeer Ahmed

OVERALL GOOD 2025-04-14

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Statistics is a field of mathematics that is universally agreed to be a prerequisite for a deeper understanding of machine learning. Although statistics is a large field with many esoteric theories and findings, the nuts and bolts tools and notations taken from the field are required for machine learning practitioners .