A trading algorithm that identifies stocks with the largest potential for growth while heavily considering its volatility using quantopian
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Aug 18, 2020 - Python
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statsmodel
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An implementation of an ARIMA time series forecast using Python statsmodels and scipy.
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Apr 25, 2020 - Python
MLR Statistical Analysis and Prediction of Ames Real Estate Prices with Streamlit
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Jan 7, 2024 - Python
Data Science: Storytelling and Deployment - analyzing LEGO Database with Streamlit.
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Apr 11, 2024 - Python
In this project I predict the 2016 MLS season using historical data and Poisson regression. The project includes cleaning, preprocessing and analyzing the dataset, building and evaluating predictive models for match outcomes, forecasting team performance and simulating the league table. It uses Pandas, Numpy, MatPlotLib and StatsModel libraries.
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Mar 20, 2024 - Python
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