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1. FoodMart_Media_Campaign FoodMart_Media_Campaign Public

   A team work of a capstone project. The correlation between features were discovered. cost and store sales can be predicted by other store features with random forest regressor and multiple linear r…

   Jupyter Notebook

2. MercadoLibre_Financial_Forecast MercadoLibre_Financial_Forecast Public

   Based on google search data, company stock price, and revenue data to get insights and forecasting for the better future plan.

   Jupyter Notebook

3. Charity_Foundation_Neural_Network Charity_Foundation_Neural_Network Public

   More than 34K funding history record were retrieved from Alphabet Soup to create a neural network model. Model performance was tested, and several attempts were applied to optimize the model.

   Jupyter Notebook

4. MechaCar_Statistical_Analysis MechaCar_Statistical_Analysis Public

   MechaCar is suffering from production troubles. To help the manufacturing team's progress, a series of statistic analyses were implemented with R.

   R

5. Credit_Risk_Prediction Credit_Risk_Prediction Public

   Heavily imbalanced credit dataset was resampled, six machine learning models were fit to training data to predict credit risk. A suggestion was made based on the accuracy of predictions from each m…

   Jupyter Notebook

6. Movies_ETL Movies_ETL Public

   Messy data about Movies were extracted from Wikipedia, Kaggle, and local csv/json files, transformed to a well-structured dataset into SQL database for further queries.

   Jupyter Notebook