Course description

To understand this problem more precisely, tools are needed to help oncologists to choose the treatment required for healing. Machine learning is widely used in bio informatics and particularly in breast cancer diagnosis which is helpful to discover and interpret new knowledge to prevent and minimize the risk adverse consequences.

What will i learn?

  • Understanding the business problem.
  • Understanding what churn is, why to solve it and how to solve it.
  • Importing the dataset and required libraries.
  • Data cleaning and missing data handling if required, using appropriate methods.
  • Building model.
  • Building feature importance
  • Model refinement and implementation

Requirements

  • Basic Programming Knowledge
  • Machine Learning Enthusiast

Project Bank

ev reddy

16-Jun-2023

4

While the course included practical exercises, incorporating additional assignments or projects that simulate real-life digital marketing scenarios would further enhance the learning experience. These assignments would provide an opportunity to implement comprehensive digital marketing strategies and gain more hands-on experience.

Rp 1299

Rp 4999

Lectures

12

Skill level

Intermediate

Expiry period

Lifetime

Certificate

Yes

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