Detecting credit card fraud detection. Selecting an optimum threshold with analysis of confusion matrix and ROC curce
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Updated
Mar 20, 2017 - Python
Detecting credit card fraud detection. Selecting an optimum threshold with analysis of confusion matrix and ROC curce
simple script for plotting precision recall curves
This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python
This code analyzes a marketing campaign using Naive Bayes, Neural Network and Logistic
One Data Set with All Algorithms
This project used machine learning to understand characteristics of terrorist groups that engage in suicide bombings.
calculate ROC curve and find threshold for given accuracy
Advanced Machine Learning
Scikit-learn tutorial for beginniers. How to perform classification, regression. How to measure machine learning model performacne acuuracy, presiccion, recall, ROC.
A simple neural network with backpropagation used to recognize ASCII coded characters
__CourseWork__
center loss for face recognition
Assignments of the course
PyTorch-Based Evaluation Tool for Co-Saliency Detection
Predicting the volcanic eruption using ML Algorithms.
Creating ROC graph for every target on data
To test if CAPTCHA secure login security codes are secure from bot attacks I developed a Random Forest classifier model in Python using Scikit-learn to predict the CAPTCHA codes. Predicted over 40,000 CAPTCHA codes with an accuracy above 97%.
A two layered LSTM model to solve binary classification problem (positive and negative movie review)
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