easyensembleclassifier
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Apply machine learning to solve the challenge of credit risk
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Oct 25, 2021 - Jupyter Notebook
Testing various supervised machine learning models to predict a loan applicant's credit risk.
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Dec 11, 2022 - Jupyter Notebook
Build and evaluate several machine learning algorithms by resampling models to predict credit risk.
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Apr 18, 2022 - Jupyter Notebook
Built several supervised machine learning models to predict the credit risk of candidates seeking loans.
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Sep 16, 2021 - Jupyter Notebook
Credit risk is an inherently unbalanced classification problem, as good loans easily outnumber risky loans. Therefore, you’ll need to employ different techniques to train and evaluate models with unbalanced classes. Using the credit card credit dataset from LendingClub, a peer-to-peer lending services company,
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Jul 6, 2022 - Jupyter Notebook
Utilizing data preparation, statistical reasoning, and supervised machine learning to solve a real-world challenge: credit card risk.
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Jan 16, 2023 - Jupyter Notebook
I am asked to resample the credit card data since it is not balanced. First, I start to split the data and perform oversampling with RandomOverSampler and SMOTE method, and I undersample with ClusterCentroids algorithm. Then, I utilize the SMOTEENN method to oversample and undersample the data. Finally, I used ensemble models.
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Jul 21, 2022 - Jupyter Notebook
Utilized several machine learning models to predict credit risk using Python's imbalanced-learn and scikit-learn libraries
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Jul 24, 2022 - Jupyter Notebook
Determine supervised machine learning model that can accurately predict credit risk using python's sklearn library. Python, Pandas, imbalanced-learn, skikit-learn
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Feb 25, 2022 - Jupyter Notebook
Analyze of several Machine Learning techniques in order to help Jill decide on a most effective Machine Learning Model to analyze Credit Card Risk applications.
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Oct 15, 2022 - Jupyter Notebook
Using machine learning to determine which model is best at predicting credit risk amongst random oversampling, SMOTE, ClusterCentroids, SMOTEENN, Balanced Random Forest, or Easy Ensemble Classifier (AdaBoost).
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Jun 16, 2022 - Jupyter Notebook
Credit_Risk_Analysis using Machine Learning
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Jun 29, 2022 - Jupyter Notebook
An analysis on credit risk
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Jun 19, 2022 - Jupyter Notebook
Analyzing credit card risk with machine learning models!
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Dec 21, 2021 - Jupyter Notebook
Train and evaluate models to determine credit card risk using a credit card dataset
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Jan 27, 2022 - Jupyter Notebook
Supervised Machine Learning Project: imbalanced-learn; scikit-learn; RandomOverSampler; SMOTE; ClusterCentroids; SMOTEENN; BalancedRandomForestClassifier; EasyEnsembleClassifier.
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Oct 17, 2021 - Jupyter Notebook
Analysis using RandomOverSampler, SMOTE algorithm, ClusterCentroids algorithm, SMOTEENN algorithm, and machine learning models BalancedRandomForestClassifier and EasyEnsembleClassifier.
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Jan 17, 2022 - Jupyter Notebook
Machine learning models for predicting credit risk in LendingClub dataset.
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Oct 23, 2022 - Jupyter Notebook
Banking-Dataset-Marketing-Targets
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Jul 31, 2022 - Jupyter Notebook
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