This project applies deep learning techniques to forecast future product sales using historical store-item data. The goal is to model and predict monthly sales for each store and item combination, capturing complex temporal patterns such as seasonality, trends, and sales volatility.
Comparison between several Python data profile libraries.
A collection of various projects.
This repository contains python scripts to conduct exploratory visual analysis and various advanced analytical approaches to test hypotheses..
Perform Principal component analysis and perform clustering using the first 3 principal component scores (both hierarchical and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained the same number of clusters with the original data (class column we have ignored at the beginning who…
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