GitHub

Deploying a Batch Scoring Pipeline for Python Models

In this repository you will find a set of scripts and commands that help you build a scalable solution for scoring many models in parallel using Azure Machine Learning (AML). The solution can be used ...
Frontiers

Supervised machine learning models for depression sentiment analysis

Globally, the prevalence of mental health problems, especially depression, is at an all-time high. The objective of this study is to utilize machine learning models and sentiment analysis techniques ...
Analytics India Magazine

One vs One, One vs Rest with SVM for multi-class classification

Binary classification algorithms are essential for achieving high accuracy in modelling. Support Vector Machines are popular among data scientists for binary classification tasks. One-vs-Rest and ...
Analytics India Magazine

Guide To PyOD: A Python Toolkit For Outlier Detection

PyOD is a versatile toolkit for detecting outliers in multivariate data, introduced in 2019. Outlier detection identifies data points that significantly differ from the majority, aiding in tasks like ...
Scientific Research Publishing

Plant Disease Detection with Deep Learning and Feature Extraction Using Plant Village ()

1 School of Computer Science & Technology, Dalian University of Technology, Dalian, China. 2 School of Computer Science & Technology, Xinjiang Normal University, Urumqi, China. Nowadays, crop diseases ...
Scientific Research Publishing

Software Defect Prediction Using Supervised Machine Learning and Ensemble Techniques: A Comparative Study ()

An essential objective of software development is to locate and fix defects ahead of schedule that could be expected under diverse circumstances. Many software development activities are performed by ...