Supervised Learning – Traditional Methods

Supervised Learning - Traditional Methods

Created by: AISPRY TUTOR
AISPRY Tutor is a branch of learning platform with360DigitMG

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.