Analyze the Halstead complexity metrics of Python repositories

Python implementation of Event Level Cross-Category Metric (ELC) proposed in article "Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities".

Weka package that adds the RMSPE (Root Mean Square Percentage Error) as metric for classifiers.

Implemented SVC on the Olivetti dataset to predict if a person is wearing glasses or not by using cross-validation techniques in depth.

A library that helps you evaluate the performance of annotator systems, for example. Calculates evaluation metrics like precision, recall and F1-score.

A UDF to evaluate Spark-MLlib classification model using PySpark

Self-practice on Machine Learning with Hands-on Machine Learning Book

A repository of the heart disease paper published on Springer

Creating and Managing Machine Learning Models

This repository is the official location of the SKLOverlay Project. Here, it will hold everything used for the package on Py Pi, including source files.

This repository contains Python code to classify fashion items using a Convolutional Neural Network (CNN) implemented with TensorFlow and Keras. It includes data preprocessing, model building, training, evaluation, and visualization of results.

This Python package is designed to easily evaluate your machine learning models

Calculating Fréchet inception distance and other metrics with PyTorch.

All Pre-processing Steps and MAchine Learning Algorithm -Basic Evaluation Metrics

This is the final project for Udacity A/B Testing provided by Google. In this project, We implement a few statistical powers to make our data-driven solution that can bring impact to business

Data Science and Machine Learning in Python

A tool to evaluate and compare object detection models using the coco metrics (https://cocodataset.org/#detection-eval) and tools available by the cocoapi (https://github.com/cocodataset/cocoapi)