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Python ML Coding Practices 🚀 Enhance your Python machine learning skills with practical coding examples, tips, and best practices. Dive into hands-on exercises covering data preprocessing, model training, evaluation, and deployment.
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70
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version-2023-11-04 12:29:55 PM added some comments in pythonGenerator
0f0b68aView on GitHubversion-2023-10-26 09:14:31 PM added perceptronTrick with GradientDescent and derive the loss function using the sigmoid function
1445918View on GitHubversion-2023-10-26 09:14:09 PM added perceptronTrick with GradientDescent and derive the loss function using the sigmoid function
8ef35e9View on GitHubversion-2023-10-26 06:55:51 PM added perceptronTrick along with sigmoidFunction
841d846View on GitHubversion-2023-10-26 11:58:53 AM added miniBatchGradientDescent
ea62faeView on GitHubversion-2023-10-26 11:58:53 AM added miniBatchGradientDescen
e47906dView on GitHubversion-2023-10-26 01:51:00 AM updated batchGradientDescent and added stochasticGradientDescent
40c7baaView on GitHubversion-2023-10-12 02:29:11 PM logisticRegression implementation on multiclass classificationusing sklearn predefined iris dataset
b00728cView on GitHubversion-2023-10-12 02:15:47 PM logisticRegression implementation on multiclass classificationusing sklearn predefined dataset
75e31f0View on GitHub