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Features preprocessing, model training, hyperparameter tuning, and evaluation for accurate sentiment analysis.\n\n## sklearn\n\nData \u0026 Code associated with sci-kit learn machine learning library in python\n\nTutorial.ipynb is the file that I worked on during the video.\n\nData directory contains several files of 1000+ amazon reviews across different departments. If you want the raw data that I created these files from, check out here: http://jmcauley.ucsd.edu/data/amazon/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvinayakdon%2Fmachine-learning-project-sentimental-classifier-","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvinayakdon%2Fmachine-learning-project-sentimental-classifier-","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvinayakdon%2Fmachine-learning-project-sentimental-classifier-/lists"}