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📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian software firms📆
Time series forecasting on future sales with ARIMA and SARIMAX algorithms
A comparative study between statistical, machine learning and time-series methods to predict future sales of a retail store based upon Cork. The sales data was obtained from a local store and the data analysis was performed.
Performed Statistical Analysis and implemented data mining techniques on large business data sets, to identify patterns. Analyzed the transactional, customer, product and forum data, to determine correlations. Developed Predictive Model using Regression analysis to predict the future sales of products. Text Mining analysis was done on the user comments to understand the user opinion on the products
Using daily sales data from Womart, use regression and time series feature engineering with machine learning and deep learning modelling to forecast, predict future sales