Utilizes Machine Learning to classify sports personalities based on their facial features.
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Updated
Aug 23, 2023 - Jupyter Notebook
Utilizes Machine Learning to classify sports personalities based on their facial features.
K-nearest neighbors (KNN) is a supervised machine learning algorithm that is used for classification and regression tasks. It works by finding the K nearest data points to a given input and using their labels to predict the label for the input.
Applies a machine learning pipeline to data obtained from Facebook. Feature extraction, pre-processing, feature selection, training, testing different classifiers and comparing their accuracy.
A new way to prevent distracted driving.
Classifier can detect 88 celebrities with accuracy of 50%
Timepass doing a bit of ML
A text-classifier based on Naive Bayes.
Using transfer learning to classify tools for a ColRobot application
Behavioral Biometric Classifier on 8051 Microcontroller
I used the Naive Bayes Classifier in both Python and R
Several machine learning classifiers implemented in Python
DecisionTreeClassifier: Classifies the "Labelled" data
Computer vision projects using opencv
2D Pattern Classification via Linear Programming for presentation purposes only
Classifying movie reviews from different sources as positive or negative
multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification
Based on Brewer's Friend Recipes data, this application helps you determine the best beer style for your recipe according its IBU, Color and ABV.
A classifier of Stackoverflow posts into relevant topics/tags.
This repository is for managing assignments of the course "Deep Learning for Natural Language Processing" at Osnabrueck University in WS2020/21.
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