📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian software firms📆
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Updated
Jul 23, 2020 - Jupyter Notebook
📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian software firms📆
You are opening a new Store at a particular location. Now, Given the Store Location, Area, Size and other params. Predict the overall revenue/Sale generation of the Store.
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Sales Price Prediction is a data-driven approach that utilizes machine learning algorithms to forecast product prices accurately. By analyzing historical sales data and other relevant features, it helps businesses make informed decisions, optimize pricing strategies, and predict future sales trends, enhancing overall profitability.
This Repository is the official project space of team ALMA2020 - Mishmash Online Hackathon.
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