Demo on using Facets: An Open Source Visualization Tool for Machine Learning Training Data developed by Google's PAIR Initiative
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Updated
Dec 10, 2017 - Jupyter Notebook
Demo on using Facets: An Open Source Visualization Tool for Machine Learning Training Data developed by Google's PAIR Initiative
🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis
Implementation of Random Balance Algorithm
To solve two main issues in credit card fraud detection - skewness of the data and cost-sensitivity
Prediction of a productional appliance readings based on anonimized data.
Building a model to detect anomaly in the credit card transactions
Customer churn analysis for a telecommunication company
research on unbalanced data problems
To predict whether the customers will subscribe to the system after 1-month free trial or not.
Multinomial classification tasks in Reddit
Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).
Kaggle Project : Anonymized credit card transactions labeled as fraudulent or genuine
Toy-project, unbalanced data, classification pipeline for multiple classifiers and parameters tuning.
Predict the activity category of a human.
Fault diagnosis using focus loss function based on balance factor (two-category)
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