This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.
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Updated
Aug 1, 2024 - Python
This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.
Smart Credit Risk Solutions
Multi-class confusion matrix library in Python
The script will display a heatmap showing the performance metrics (accuracy, precision, recall, f1-score) of the learning models: K-nearest neighbors, Random Forest, Support vector machine and Multilayer perceptron. If you choose to display confusion matrices, they will be plotted for the chosen model.
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
Classification of Sober and Intoxicated Faces using Image Analysis
These are all of my machine learning codes.You can find every code about machine learning.
NWPeval is a Python package designed to facilitate the evaluation and analysis of numerical weather prediction (NWP) models.
Official Python implementation of Event Level Cross-Category Metric (ELC) proposed in article "Gaze-in-wild: A dataset for studying eye and head coordination in everyday activities" in 2020.
Deep Learning using apple quality dataset
Explainable AI tools for deciphering how neural networks. Includes saliency maps, confusion matrices, and feature representation examples.
Measure and visualize machine learning model performance without the usual boilerplate.
🫁 Predict the risk of developing lung cancer in Elementary Differential Equations and Linear Algebra.
Breast Cancer prediction app using KNN and SVC algorithm.
Machine Learning Spam Filter from scratch
Apply Supervised Learning Algorithms using Python to predict breast cancer, diabetes, etc.. diseases.
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Decision Tree based classification model for determining gut health.
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