This model can predict whether an email is spam or not. The logistic regression machine learning algorithm is used to train this model.
-
Updated
Jul 26, 2024 - Jupyter Notebook
This model can predict whether an email is spam or not. The logistic regression machine learning algorithm is used to train this model.
Learning python day 4
Machine learning classification applied to wine recognition data.
This repository contains code for evaluating different machine learning models for classifying fake news. The dataset used for this evaluation consists of labeled news articles as either "REAL" or "FAKE". Three popular classifiers, Support Vector Machine (SVM), Decision Tree, and Logistic Regression, are trained and evaluated on this dataset.
Predicción de actividad humana de acuerdo a los sensores de un smartphone
This model was designed around Pycoco's dataset, the CNN model constructed outputs training loss graphs and a confusion matrix for the network of interest
Fake News Detection Using Python
Confusion matrix in tensorboard
This project aims to understand and build Naive Bayes classifier to predict the salary of a person.
A common question when you're learning data science: "Sort the confusion matrix using your own function". This is a simple way to do it by using optimization.
A innovative way to visualize text misclassifications within a confusion matrix in Tableau.
Visual-analytical tools to evaluate and compare the outputs of large numbers of binary classifiers.
Confusion Matrix in Python: Plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
Training a convolutional neural network to classify images of the Fashion MNIST dataset and use TensorBoard to explore how it's confusion matrix evolves over time.
Data Science Projects - beginner level.
This Repository holds the information related to Masters Study project on Detecting Vandlism
Add a description, image, and links to the confusionmatrix topic page so that developers can more easily learn about it.
To associate your repository with the confusionmatrix topic, visit your repo's landing page and select "manage topics."