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Originally written for a data science project in the fall 2019 for my MBA, where we had to use data to help a fictitious business, I decided to upload what I used to do my exploratory analysis and possibly expand on it with 2021 skills and model techniques.

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Machine Learning Data Exploration


Originally written for my MBA data science project in the Fall 2019. We had to use data gathered from the internet to help a fictitious business. After searching on Kaggle, I landed on a Marijuana (Cannabis) Dataset. I took this a step further and developed a Flutter Mobile App to serve the chosen model.

I decided to upload what I used to do my exploratory analysis, and the model I developed that and possibly expand on it with 2021 skills and model techniques.

Application Purpose


To understand the data after processing, visualize the columns of interest, train a variety of machine learning models, and choose the best one based on the fictitious businesses needs.

Lessons Learned


  1. Data prep and exploration
  2. Training and Testing Machine Learning Model

Planned Features/Enhancements


  • Create Plotly Dashboard to explore data further

About

Originally written for a data science project in the fall 2019 for my MBA, where we had to use data to help a fictitious business, I decided to upload what I used to do my exploratory analysis and possibly expand on it with 2021 skills and model techniques.

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