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.

A innovative way to visualize text misclassifications within a confusion matrix in Tableau.

Machine learning classification applied to wine recognition data.

混淆矩阵的热力图绘制

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.

Learning python day 4

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.

Data Science Projects - beginner level.

This project explores the optimal combination of Bag-of-Words and TF-IDF vectorization with Naive Bayes and SVM for sentiment analysis. It evaluates performance using accuracy, precision, recall, and F1-score, addressing ethical concerns like data privacy and bias to improve sentiment classification in real-world applications.

Confusion matrix in tensorboard

This model can predict whether an email is spam or not. The logistic regression machine learning algorithm is used to train this model.

This Repository holds the information related to Masters Study project on Detecting Vandlism

Predicción de actividad humana de acuerdo a los sensores de un smartphone

Fake News Detection Using Python

Visual-analytical tools to evaluate and compare the outputs of large numbers of binary classifiers.

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