Confusion Matrix in Python: Plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

This project aims to understand and build Naive Bayes classifier to predict the salary of a person.

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.

混淆矩阵的热力图绘制

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.

Language Detector Loads and cleans text data, trains a language classification model using TF-IDF and Logistic Regression, evaluates it, and enables interactive language prediction with saved model reuse.

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

Machine learning classification applied to wine recognition data.

Learning python day 4

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

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.

Data Science Projects - beginner level.

Fake News Detection Using Python

This project focuses on detecting spam emails using a machine learning approach. Based on a dataset with word frequencies and special character occurrences, the model classifies emails as either spam or non-spam.

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.