Get performance metrics and graphs of a scorecard
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Updated
Mar 17, 2017 - Python
Get performance metrics and graphs of a scorecard
Solution to Hackerearth Machine Learning Challenge 3
Synthetic Minority Over-sampling Technique Implementation
🎼 Predict the chances of a user listening to a song repetitively after the first observable listening event within a time window was triggered.
Python and sklearn, KNN, logistic and linear regression, cross-validation
Recipes for common operations in logistic regression: Data cleaning, ANOVA, ROC, & AUC
Showcase for using H2O and R for scoring for marketing campaign in retail
Binary Classifier using CNN from Keras module in python. Pneumothorax Detection Project From MIT's 6.S191 Course Lab
calculate ROC curve and find threshold for given accuracy
A multi-class approach to the AUC based on Hand and Till's 2001 paper.
Kaggle Competition - Analysis and prediction of PUBG players' finishing placement based on their final stats
At Santander our mission is to help people and businesses prosper. We are always looking for ways to help our customers understand their financial health and identify which products and services might help them achieve their monetary goals. Our data science team is continually challenging our machine learning algorithms, working with the global …
Machine Learning Algorithms
The objective of this project is to predict the probability of loanee or borrower defaulting on a vehicle loan in the first EMI (Equated Monthly Instalments) on the due date.
Python code to obtain metrics like receiver operating characteristics (ROC) curve and area under the curve (AUC) from scratch without using in-built functions.
stress detection in social networks
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