Supervised Learning – Traditional Methods
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Supervised Learning - Traditional Methods
★★★★★
$10.00 in stock
Udemy.com
as of May 16, 2025 4:36 am
Supervised Learning - Traditional Methods
Created by:
AISPRY TUTOR
AISPRY Tutor is a branch of learning platform with360DigitMG
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.
Supervised Learning – Traditional Methods Videos
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