center loss for face recognition
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Updated
Nov 11, 2020 - Python
center loss for face recognition
PyTorch-Based Evaluation Tool for Co-Saliency Detection
Machine learning utility functions and classes.
Measure and visualize machine learning model performance without the usual boilerplate.
Detecting credit card fraud detection. Selecting an optimum threshold with analysis of confusion matrix and ROC curce
Tool demonstrating building credit risk models
Scikit-learn tutorial for beginniers. How to perform classification, regression. How to measure machine learning model performacne acuuracy, presiccion, recall, ROC.
Assignments of the course
This code analyzes a marketing campaign using Naive Bayes, Neural Network and Logistic
Advanced Machine Learning
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
Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks
Predicting the volcanic eruption using ML Algorithms.
Fundamental ML Algorithms in Python
Develop a heart disease prediction system that can assist medical professionals in predicting heart disease status based on the clinical data of patients.
One Data Set with All Algorithms
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%.
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