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Jun 26, 2021 - Jupyter Notebook
#
null-values
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A user-friendly interface for exploring, visualizing, and analyzing your data. With this app, you can easily load a CSV file, preview the data, and create plots and charts to uncover insights and trends. Perform various analyses including correlation, descriptive statistics, and missing value analysis to better understand your data. Enhance your da
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Jan 8, 2023 - Python
Using Logistic regression algorithm for predicting whether the patient has heart disease or not.
numpy pandas-dataframe heatmap eda pandas accuracy logistic-regression outlier-detection standardization confusion-matrix data-preprocessing feature-scaling null-values
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Feb 15, 2023 - Jupyter Notebook
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