Supervised Learning – Traditional Methods

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Last updated on March 13, 2025 2:06 am
Supervised Learning – Traditional Methods
Supervised Learning – Traditional Methods

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Supervised Learning - Traditional Methods

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$19.99  in stock
Udemy.com
as of March 13, 2025 2:06 am

Supervised Learning - Traditional Methods

Created by: AISPRY TUTOR
AISPRY Tutor is a branch of learning platform with360DigitMG
Rating:4.99 (34reviews)     277students enrolled

What Will I Learn?

  • Students will get in-depth knowledge of Supervised Learning.
  • We delve deeply into Predictive Modeling.
  • We learn about Classification Models, Shallow Machine Learning Models, Ensemble Models, Regression Models, and the Black Box technique.
  • We also recognize the divisions of each modeling method.

Requirements

  • It is recommended that learners have a prior grasp of the CRISP-ML(Q) Methodology.
  • Understanding the remaining procedures in the CRISP-ML(Q) data preparation section.
  • Recognize the role of Python programming in EDA.

Target audience

  • This course is designed for people who desire to advance their careers in data science.
  • It is also intended for working professionals who want to improve their grasp of CRISP-ML(Q).
  • Students of all backgrounds are invited to enroll in this program.
  • Students with engineering backgrounds are invited to use this program to supplement their education.

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