[Jorge Gonzalez, Anna Fonte, Nick Deitmers, Miguel Chacon]
[Data Analytics Full Time & 27/11/2020]
After receiving a cookies dataset, we had to assamble a Machine Learning model in order to predict cookie qualities.
We were given a 16 column dataset with cookies characteristics and around 5000 observations. The target variable was the Quality of the cookies.
- Understanding Dataset
- Wrangling Data
- Design Data Preproc Pipelines
- Assamble ML Models
-In order to develop our model, we worked as a team during all stages of the workflow. For the data cleaning and preprocessing, the decisions were took as a group through a meeting. Once the preprocessing pipeline was ready, the remaining tasks and models training were divided into each component of the group.
What does your repository look like? Explain your folder and file structure.
Folders structure:
- Data Received
- Predictions
- Code (W/ gitignore file)
- README
Include links to your repository, slides and kanban board. Feel free to include any other links associated with your project.