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Sales Forecasting with Python ML Techniques by Apoorva Singh is a document available to read on EtoBox.

The document outlines a sales forecasting machine learning project using Python, focusing on predicting future sales through historical data analysis. Key steps include dataset collection, data preprocessing, exploratory data analysis, feature engineering, model selection, evaluation, tuning, and optional deployment. The goal is to enhance forecasting accuracy and optimize business operations by leveraging advanced machine learning techniques.

Author
Apoorva Singh
Language
EN