My Deep Learning Work
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Jul 4, 2021 - Jupyter Notebook
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readingdatasets
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End-to-end projects: customer churning prediction using the Random Forest Classifier Algorithm with 97% accuracy; performing pre-processing steps; EDA and Visulization fitting data into the algorithm; and hyper-parameter tuning to reduce TN and FN values to perform our model with new data. Finally, deploy the model using the Streamlit web app.
visualization webpage deployment random-forest model eda feature-selection accuracy feature-engineering cleaning-data modelselection streamlit readingdatasets
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Sep 13, 2023 - HTML
Used two Python Libraries Numpy and Pandas.
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Updated
Apr 25, 2024 - Jupyter Notebook
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