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STROKE Analysis and Prediction Using Scikit–Learn, Keras, and TensorFlow with Python GUI
Free Download STROKE: Analysis and Prediction Using Scikit-Learn, Keras, and TensorFlow with Python GUIEnglish | 2023 | ASIN : B09FSQ6YW7 | 594 Pages | True EPUB | 18 MB
In this project, we will perform an analysis and prediction task on stroke data using machine learning and deep learning techniques. The entire process will be implemented with Python GUI for a user-friendly experience. We start by exploring the stroke dataset, which contains information about various factors related to individuals and their likelihood of experiencing a stroke. We load the dataset and examine its structure, features, and statistical summary. Next, we preprocess the data to ensure its suitability for training machine learning models. This involves handling missing values, encoding categorical variables, and scaling numerical features. We utilize techniques such as data imputation and label encoding.
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