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Logistic Regression for User Purchase Prediction by ashwinpunmagr99 is a document available to read on EtoBox.

The document outlines various assignments involving data analysis and machine learning tasks using Python. Key tasks include building logistic and linear regression models, preprocessing datasets, applying the Apriori algorithm for association rule mining, and performing sentiment analysis. Additionally, it covers text preprocessing and summarization techniques, including the removal of stopwords and the generation of word clouds.

Author

ashwinpunmagr99

Language

EN