Diabetes-Prediction-Using-SVM VS machine_learning_refined

Compare Diabetes-Prediction-Using-SVM vs machine_learning_refined and see what are their differences.

Diabetes-Prediction-Using-SVM

In this case, we train our model with several medical informations such as the blood glucose level, insulin level of patients along with whether the person has diabetes or not so this act as labels whether that person is diabetic or non-diabetic so this will be label for this case. (by CatalystsReachOut)

machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press). (by jermwatt)
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Diabetes-Prediction-Using-SVM machine_learning_refined
1 3
7 1,585
- -
10.0 6.6
over 1 year ago 10 months ago
Jupyter Notebook Python
- GNU General Public License v3.0 or later
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Diabetes-Prediction-Using-SVM

Posts with mentions or reviews of Diabetes-Prediction-Using-SVM. We have used some of these posts to build our list of alternatives and similar projects.

machine_learning_refined

Posts with mentions or reviews of machine_learning_refined. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Diabetes-Prediction-Using-SVM and machine_learning_refined you can also consider the following projects:

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numpy-string-indexed - NumPy extension that allows arrays to be indexed using labels