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Nicholas D'Agostino's Projects

aapl-market-price-forecaster icon aapl-market-price-forecaster

Investigates the use of the Autoregressive Integrated Moving Average (ARIMA) model in predicting stock prices. Employing historical stock data retrieved through yfinance, examine the effectiveness of ARIMA with evaluation metrics, including Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and R-squared.

machine-learning icon machine-learning

First attempt at machine learning. Based off of a tutorial that I read online using python libraries like sklearn and scipy.

msft-classification-model-analysis icon msft-classification-model-analysis

Perform two distinct simple trading strategies with various classification models in Python. Generate 'buy' and 'sell' signals based on feature variables for the MSFT security. Signals are selected as the target/label variable used by classifiers.

snp500-analysis icon snp500-analysis

Designed a multi-dimensional data model using LucidChart. Developed ELT pipeline using Python/Pandas. S&P 500 data obtained via yfinance, an open-source library. Output normalized data to excel. Performed analysis and generated reports with Power BI.

tkinter-calculator icon tkinter-calculator

This is a very basic addition/subtraction calculator created using tkinter library in python.

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