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Local Chapter project

Analyzing Promotion Effectiveness Using Machine Learning

Data ScienceMachine LearningEDA
Start date
June 15, 2023
Finish date
August 14, 2023
Project status
completed
Analyzing Promotion Effectiveness Using Machine Learning

Challenge background

The problem of this project is to promote the promotion of the retail products.

The problem

Find the solutions to expand the market & the audience.

Goal of the project

  • Increase awareness.
  • Increase the audience.
  • Increase the market size.
  • Create brand awareness.
  • Promotion.

Project timeline

  1. 1

    Week 1

    - Orientation

    - Understanding of the problem statement

    - Data collection

  2. 2

    Week 2

    - Exploratory Data Analysis

  3. 3

    Week 3

    - Feature Engineering & Feature Selection

  4. 4

    Week 4

    - Modeling the data

  5. 5

    Week 5

    - Evaluating the model

  6. 6

    Week 6

    - Pending work

  7. 7

    Week 7

    - Deploying the model

  8. 8

    Week 8

    - Conclusion

What you'll learn

Data Science skills, machine learning, data visualization, customer segmentation, marketing campaign and more.

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.