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Developed a recommendation system to enhance the Amazon FBA product selection process and utilized machine learning techniques, to identify key trends to make accurate product recommendations.

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DeepakSawalka/Amazon-FBA-Product-Search-Analysis

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Amazon-FBA-Product-Recommendation-System

Following is the repository on the problem statement as given by KUBIXSQUARE

Problem Statement:

Amazon FBA product search analysis using ML. Suggestions should be provided where input from users will be taken using some parameters

Note:

We are recommending clothes considering our dataset.

Instructions:

Save a copy of the colab file in your drive. Download the dataset from the given link below. Click here In the second block of code, you need to mount your google drive so that you can access the dataset directly from google colaboratory. Run each and every block to get the final output.

Collaborators:

  1. Deepak Sawalka| LinkedIn | Github
  2. Lester Rodrigues | LinkedIn | Github
  3. Clare Rebello | LinkedIn | Github
  4. Rahul Perera | LinkedIn | Github

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Developed a recommendation system to enhance the Amazon FBA product selection process and utilized machine learning techniques, to identify key trends to make accurate product recommendations.

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