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1. Forecasting_Using_Machine_Learning Forecasting_Using_Machine_Learning Public

   Using machine learning models to create forecasts and better manage supply chain networks and working capital levels.

   Jupyter Notebook

2. Crypto_Classification_System Crypto_Classification_System Public

   A system that groups crypto currencies into a classification system and processes data to fit machine learning models. Unsupervised learning and clustering algorithms have been utilized.

   Jupyter Notebook

3. Credit_Risk_Analysis Credit_Risk_Analysis Public

   Using machine learning to train and evaluate models with unbalanced classes to determine the best models to predict credit risk.

   Jupyter Notebook

4. Election_Analysis Election_Analysis Public

   The purpose of this is to determine the voter turnout for each county, the percentage of votes received by each county and the country with the highest voter turnout.

   Python

5. Business_Seasonal_Sustainability_Analysis Business_Seasonal_Sustainability_Analysis Public

   A statistical analysis on the temperature trends to determine whether or not a business is sustainable year-round.

   Jupyter Notebook

6. Movie_Database_Creation_Using_ETL Movie_Database_Creation_Using_ETL Public

   Creating a function that takes in the three files, Wikipedia data, Kaggle metadata, and the MovieLens rating data, and performs the ETL process by adding the data to a PostgreSQL database.

   Jupyter Notebook