Folder Overview 📔

• /Data-Notebooks
  • Contains the Jupyter Notebooks used for Data Analysis and ML Model Construction
• /ML-App
  • Contains source code for the CoreX Analysis App (ML App Development)

ML Model Construction 📈

Tools Used: Python, Jupyter Notebooks, Scikit-Learn, Numpy, Pandas, and Plotly

• finance-forecast.ipynb contains the two Linear Regression models used for predicting future profits and expenses
  • Data for this model was gained on Datalab and modified/cleaned for custom use
• website-visitors.ipynb contains a RandomForestRegressor used to predict the performance of an E-Commerce website in the future
  • Data for this model was gained on Kaggle which used Google Analytics to obtain visitor data
• /Models contains all the models in the form of a saved file (used on the app)

ML App Development 🖥

Tools Used: Python, Streamlit, and Joblib

• /Data contains CSV files for tables and the previously developed ML Models
• /Components contains pages for the app (finance analysis, seo analysis, and about)
• app.py contains the main section for the app such as navigation and page routing
• multiapp.py contains the code used to build multiple pages with Streamlit
• requirements.txt contains the libraries and packages needed to be installed when the app is hosted