Algorithms to handle imabalanced datasets using deep learning
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Updated
Sep 16, 2016 - Python
Algorithms to handle imabalanced datasets using deep learning
Analysis on hospital readmission data for diabetic patients using R and Tableau
Mahakil Code
Human or Robot? Predict if an online bid is made by a machine or a human.
Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing campaign related data
Classification with imbalanced classes
This is just an Exploratory Data Analysis of Credit Card Fraud Detection dataset. I've explained, how to deal with class imbalance problem which is common in fraud detection. Also, which features are important and which model is used at last.
ICSE'18: Tuning Smote
Udacity DAND Project: Identify fraudulent personalities from enron emails and dataset
In this project I applied various classification models such as Logistic Regression, Random Forest and LightGBM to accurately detect and classify consumers who will default the loan. SMOTE technique is used to combat class imbalance and LightGBM is implemented that resulted into the highest accuracy 98.89% and 0.99 F1 Score.
handle toxic and divisive content with Deep Learning. Quora wants to tackle this problem head-on to keep their platform a place where users can feel safe sharing their knowledge with the world.
Queue-Based Resampling (QBR, ICANN 2018)
Sampling-based class imbalance solutions for multiple-instance classification
Class imbalance correction algorithm for multiple-instance data
Experiments to show the usage of deep learning to detect breast cancer from breast histopathology images
Can you identify who will make a transaction?
Identifying a person’s personality type based on some text they have written.
PREDICTING A PULSAR STAR - A Classic Class Imbalance Problem
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