- Build a predictive sales prediction model using machine learning. Aiming to finish by the end of fall quarter.
- Conduct exploratory data analysis (data cleaning, data visualization, identifying trends), build and evaluate model (train set, test set, identify features and predictors), and host the project on a web application.
- Technologies/Skills used: Python (pandas, matplotlib, scikit-learn), React.js, Anaconda, Jupyter Notebook, Git, Github, Scrum
- General members can contribute to this ongoing project by developing their own extensions and features to the project. You may work individually, or form teams of up to 4. All participants get to showcase their project at the end of the quarter, with a chance to win a gift card!
https://www.kaggle.com/datasets/ruchi798/shopping-cart-database