Machine learningRandom forestRidge regressionSales predictionVariations in sales over time is the main issue faced by many retailers. To overcome this problem, we attempt to predict the sales by comparing the previous sales data of different stores. Firstly, the primary task is to recognize the ...
Stock price prediction using DEEP learning algorithm and its comparison with machine learning algorithms Security indices are the main tools for evaluation of the status of financial markets. Moreover, a main part of the economy of any country is constituted o... M Nikou,G Mansourfar,J Bagher...
S: enables us to add a seasonal component In the code below, we define our model and then make dynamic predictions for the last 12 months of the data. For standard, non-dynamic predictions, the following month’s prediction is made using the actual sales from the prior months. In contrast...
prediction (Lixiong Gong, 2019) [3], censored demand prediction by machine learning (Evgeniy 2019) [4], sales predictive algorithms base on ANN (Alessandro, 2018) [5], predictive sales model using multi-layer neural network (Adebayo, 2018) [6], explaining machine learning model for sales ...
Sales prediction is crucial for business intelligence, aiding in workforce management or resource allocation. Accurate sales forecasting is vital for financial planning and predicting both short-term and long-term company performance. In this work, we propose the use of adaptive ensembles of classificati...
Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. arXiv preprint arXiv:1406.1078 (2014) Dai, Y., Huang, J.: A sales prediction method based on LSTM with hyper-parameter search. J. Phys. Conf. Ser. 1756, 012015 (2021) Google...
Machine Learning Algorithms on Big Mart Sales Data using Python Programming Language - baluniranjan/Big-Mart-Sales-Prediction
A similar approach could be adopted to explain a retail sale prediction model in a real scenario. Explore More Codeless XAI Solutions KNIME Analytics Platform offers many codeless solutions to train and also explain the predictions made by a complex machine learning model, also called a black box...
Sales prediction in food market is a complex issue that has been addressed in the recent past with machine learning techniques. Although some promising results, an experimental work that we describe in this paper shows some drawbacks of the above mentioned data-driven method and habilitates the de...
Pipedrive uses this prospect data, compiling it into a multi-dimensional sales pipeline that greatly improves revenue prediction to allow for smarter business decisions. It also offers native iOS and Android integration, enabling you to stay on top of your responsibilities from anywhere. ...