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### Description
Given dataset with different features of wine, predict its quality. The quality is an integral score between 0 and 10.
The dataset can be found [here](https://archive.ics.uci.edu/ml/…
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Hi! I'm making some project with this fancy library, but now I'm stuck with React translations.
I made some pose examples with Teachable Machine Website, and I exported them with the specific URL.
…
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* face_recognition version: latest
* Python version: 3.9.1
* ubuntu 20.04
### Description
after a lot of digging trying to get multiple results for an unknown person am getting the same result…
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We are looking for contributors to implement both K-Nearest Neighbors (KNN) and RandomForest Classifier for heart disease classification. The goal is to compare the performance of these models and enh…
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* face_recognition version:
* Python version:3.5
* Operating System:windows
### Description
Hi!
I'm right now using your method (KNN) to recognise people in a large dataset, my problem is if …
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Dataset provied [here](https://docs.google.com/spreadsheets/d/1dd13yPmerTi8ww-l7C-AloxFyxUsxfculw22rNvkQIY/edit?gid=1302065991#gid=1302065991)
We need a classifier that is able to classify into tho…
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We need to implement a K-Nearest Neighbors (KNN) classifier for the real estate dataset. The classifier should be initialized with n_neighbors=3, which is the number of neighbors used for classificati…
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- OpenCV => 3.4.0
- Operating System / Platform => Windows 10 64 Bit
- Compiler => mingw 7.2.0
I'm trying to adopt code from the [webcam_demo](https://github.com/opencv/opencv_contrib/blob/mast…
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results= sv.evaluate_oversamplers(datasets= datasets,
samplers= sv.get_n_quickest_oversamplers(10),
classifiers= [knn_classifi…
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**### Title: Model Evaluation and Comparison for Loan Prediction**
**Description:**
This issue pertains to the implementation and evaluation of various machine learning models for predicting loa…