shap
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A take on highly imbalanced fraud classification using permutation importance to select top features and explaining the model using SHAP.
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Jun 18, 2019 - Jupyter Notebook
Final Year Project KCL
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Apr 28, 2022 - Jupyter Notebook
Exploration of SHAP visualisations with Keras Multi Layered Perceptron (MLP), Classifiers, and Regresors using seaborn datasets.
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Jul 21, 2022 - Jupyter Notebook
Through exploratory data analysis, predictive analytics and explainable AI, this project aims to provide valuable feedback regarding the reasons that customers churn, thus providing useful insight for the company to minimize customer churn.
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Feb 23, 2022 - Jupyter Notebook
Streamlit dashboard frontend (user interface) to deploy a machine learning model to the web
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Nov 9, 2022 - Python
Car dealership web application that is enhanced with online machine learning and interpretable machine learning.
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Aug 12, 2022 - HTML
This a classic Credit Card Default Prediction project where based on customer profile we want to predict whether the borrower is likely to default in the next 2 years or not having a delinquency of more than 3 months.
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Aug 21, 2023 - Jupyter Notebook
My repository of Machine Learning by UFMG
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Jul 26, 2022 - Jupyter Notebook
Replicate Power BI Key Influencer visual in python
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Feb 14, 2024 - Jupyter Notebook
Multi-class classification of drug resistance in MTB clinical isolates
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May 21, 2024 - Shell
Estudo transversal que analisou dados retrospectivos de gestantes e puérperas com diagnóstico de Síndrome Respiratória Aguda Grave (SRAG) entre janeiro de 2016 e novembro de 2021.
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Jun 13, 2024 - R
Analysis of a customer base of telecommunication services company. ML algorithm implementation to predict customer churn. The model beat all benchmarks and would allow for up to 27% reduction in customer lifetime value loss
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Jun 4, 2024 - Jupyter Notebook
Using ML models to personalize offers to loyal customers to increase their purchasing activity
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Aug 15, 2024 - Jupyter Notebook
a DUMMY for the SHAB theme wich will be there
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Dec 8, 2022 - CSS
Explainable prediction of next year GDP Growth using the Kaggle World Development Indicators
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Oct 26, 2022 - HTML
Built an ensemble model on the Spotify dataset to determine the popularity of songs and study feature importance using SHAP.
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Oct 26, 2022 - Jupyter Notebook
This project explores the Framingham Heart disease dataset with the objective to predict its risk in 10 years. Various methods for handling missing values and outliers are explored as iterations. After analysing the dataset, important and necessary features are selected. Seven ML models are implemented, with evaluation on the basis of Test Recall.
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Apr 7, 2023 - Jupyter Notebook
A project in which a model has been developed that predicts which passengers of the Titanic have the greatest opportunity to survive after the disaster
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Jul 29, 2023 - Jupyter Notebook
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