Time Series Forecasting, Machine Learning, Data Science, Python, Analytics.
this mission we used standard scaling, and the next step we took is splitting the data, we will use 90% of the train data as train and 10% of the data as validation (~270K rows), the test remains the test we got from the competition containing ~30K rows. In this work choose to implement two basic