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This a Capstone Project done by Team Pycaret in Hamoye Data Science Program Fall'22. ARIMA and Prophet model were used to forecast the closing price of currency exchange. An app was deployed with a friendly UI where users can easily make forecast on a currency pair of their choice, based on the available data used.
This is a Premiere Project done by Team Gitlab in Hamoye Data Science Program Dec'22. Out of 5 models used on the data, Random Forest Classifier was used to further improve the prediction of characters death. With parameter tuning and few cross validation, we were able to reduce the base error by 5.42% and increase accuracy by 2,42%.