The project investigates the effectiveness of different machine learning models in predicting sales. XGBoost Regression with tuned hyperparameters achieved the best performance among the tested models based on the Mean Squared Error metric.
Prediction of quarterly sales of a company using XGBoost Regression Model using python and multiple Data Science Libraries.
Sales prediction means predicting how much of a product people will buy based on factors such as the amount you spend to advertise your product, the segment of people you advertise for, or the platform you are advertising on about your product.
Forecast future sales with this Python project. Explore data, engineer features, and experiment with ML models. Ideal for sales prediction tasks.
Sales prediction means predicting how much of a product people will buy based on factors such as the amount you spend to advertise your product, the segment of people you advertise for, or the platform you are advertising on about your product.
This is a time series project that seeks to predict sales of the Favourita company.
Forecasting time series data using Holt Winter's Model in Python
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