Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

center loss for face recognition

Display and analyze ROC curves in R and S+

PyTorch-Based Evaluation Tool for Co-Saliency Detection

Measure and visualize machine learning model performance without the usual boilerplate.

Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification

Hyperspectral image Target Detection based on Sparse Representation

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit.

With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?

Machine learning utility functions and classes.

The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.

ML/CNN Evaluation Metrics Package

Get an intuitive sense for the ROC curve and other binary classification metrics with interactive visualization.

Detecting hate speech using the spoken content of videos using Machine Learning

Evaluation of Binary Classifiers

Assignments of Machine Learning Graduate Course - Spring 2021

Our project aims to utilize machine learning techniques for bankruptcy prediction, leveraging data analysis and predictive models to forecast the likelihood of a company experiencing financial insolvency.

Used the Global Terrorism Database to Explore Features of Suicide Bombings

Scikit-learn tutorial for beginniers. How to perform classification, regression. How to measure machine learning model performacne acuuracy, presiccion, recall, ROC.