This project is about creating a machine learning model which makes a prediction about the dollar values. The starting dataset is an Excel table containing information about the dollar course to ruble for nearly 500 days from the beginning of 2018 to the end of 2019. The prediction is presented as a chart compared to the real dollar course. The algorithms used to create the ML models are linear regression and k neighbors regression.
This project is about creating a machine learning model which makes a prediction about the dollar values. The starting dataset is an Excel table containing information about the dollar course to ruble for nearly 500 days from the beginning of 2018 to the end of 2019. The prediction is presented as a chart compared to the real dollar course. The algorithms used to create the ML models are linear regression and k neighbors regression.