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Jul 12, 2018 - Jupyter Notebook
confusionmatrix
Here are 20 public repositories matching this topic...
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.
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Sep 16, 2024 - Python
Data Science Projects - beginner level.
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Jan 9, 2020 - Jupyter Notebook
Confusion matrix in tensorboard
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Sep 1, 2022 - Python
This model can predict whether an email is spam or not. The logistic regression machine learning algorithm is used to train this model.
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Aug 11, 2024 - Jupyter Notebook
This Repository holds the information related to Masters Study project on Detecting Vandlism
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May 1, 2018 - Jupyter Notebook
Predicción de actividad humana de acuerdo a los sensores de un smartphone
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May 19, 2023 - Jupyter Notebook
Fake News Detection Using Python
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Oct 7, 2022 - Jupyter Notebook
Visual-analytical tools to evaluate and compare the outputs of large numbers of binary classifiers.
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Nov 8, 2020 - Python
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
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Feb 27, 2023 - Python
A innovative way to visualize text misclassifications within a confusion matrix in Tableau.
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Aug 31, 2021 - Jupyter Notebook
Machine learning classification applied to wine recognition data.
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Oct 24, 2023 - Jupyter Notebook
This project aims to understand and build Naive Bayes classifier to predict the salary of a person.
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Jan 13, 2022 - Jupyter Notebook
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.
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Oct 26, 2021 - R
Learning python day 4
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Mar 15, 2024 - Python
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.
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Jul 22, 2023 - Jupyter Notebook
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Jan 26, 2020 - Jupyter Notebook
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.
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May 18, 2020 - Jupyter Notebook
Confusion Matrix in Python: Plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
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Aug 18, 2020 - Python
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