Dynamic Confusion Matrix and Performance Metrics Visualization Tool
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Updated
May 25, 2024 - JavaScript
Dynamic Confusion Matrix and Performance Metrics Visualization Tool
Tool to analyze a confusion matrix from performance of a classification model.
This is a group project in the Data Science for Business I course where we took a data-driven approach to foster employee retention and enhance operational efficiency by building predictive models on Python.
An in-depth exploration of logistic regression models, including data cleaning, model building, and performance evaluation on various datasets.
A Performance Study of Naive Bayes Classifier in Advertisement Analysis
Repositorio creado para almacenar archivos, script y el informe final del curso de modelamiento estadístico del Diplomado en Big Data de la Pontificia Universidad Católica de Chile.
A model that makes use of SVM, Logistic Regression, Naive Bayes, Dense NN to judge whether a review is positive or negative
Classification of Sober and Intoxicated Faces using Image Analysis
Fake news is a significant issue in today's digital landscape. This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
These are all of my machine learning codes.You can find every code about machine learning.
Machine learning utilities for .NET. Confusion matrix, intersection over union, etc.
This repo is for finding whether a PDF file in json format contains virus or not by classifying it into Malicious or Benign using Classification algorithms.
Content: Machine Learning, Logistic regression steps, Probability matrix, Confusion matrix, Accuracy score, Recall value, Data preprocessing, Label encoding, Scaling the data, Splitting train test data, Running Logistic Regression, Y prediction on test data, Class imbalance, Type 1 & Type 2 errors.
Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)
Multi-class confusion matrix library in Python
Explore MovieLens 1M Dataset for movie ratings. Split data into training/testing sets, build Collaborative Filtering recommendation system, and uncover insights for personalized movie suggestions.
ENCM 509 - Fundamentals of Biometric Systems Design - Winter 2024
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