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A PyTorch-based framework for binary classification on tabular datasets, featuring automated feature attribution through linear weight analysis and ROC-AUC performance evaluation.

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benard-adewole/Predictive-Modeling-PyTorch

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23 Commits
1 1_1Dtensors_v2.ipynb
1 1_1Dtensors_v2.ipynb
 
 
1 2derivativesandGraphsinPytorch_v2.ipynb
1 2derivativesandGraphsinPytorch_v2.ipynb
 
 
1 3 1_simple_data_set_v2.ipynb
1 3 1_simple_data_set_v2.ipynb
 
 
1 3 2_Datasets_and_transforms.ipynb
1 3 2_Datasets_and_transforms.ipynb
 
 
1 3 3_pre-Built Datasets_and_transforms_v2.ipynb
1 3 3_pre-Built Datasets_and_transforms_v2.ipynb
 
 
2 1Prediction1Dregression_v3.ipynb
2 1Prediction1Dregression_v3.ipynb
 
 
2 2_linear_regression_one_parameter_v3.ipynb
2 2_linear_regression_one_parameter_v3.ipynb
 
 
2 3_training_slope_and_bias_v3.ipynb
2 3_training_slope_and_bias_v3.ipynb
 
 
3 1_stochastic_gradient_descent_v3.ipynb
3 1_stochastic_gradient_descent_v3.ipynb
 
 
3 2_mini-batch_gradient_descent_v3.ipynb
3 2_mini-batch_gradient_descent_v3.ipynb
 
 
3 3_PyTorchway_v3.ipynb
3 3_PyTorchway_v3.ipynb
 
 
3 6_training_and_validation_v3.ipynb
3 6_training_and_validation_v3.ipynb
 
 
4 1 multiple_linear_regression_prediction_v2.ipynb
4 1 multiple_linear_regression_prediction_v2.ipynb
 
 
4 2 multiple_linear_regression_training_v2.ipynb
4 2 multiple_linear_regression_training_v2.ipynb
 
 
4 3 multi-target_linear_regression.ipynb
4 3 multi-target_linear_regression.ipynb
 
 
4 4 training_multiple_output_linear_regression.ipynb
4 4 training_multiple_output_linear_regression.ipynb
 
 
5 1logistic_regression_prediction_v2.ipynb
5 1logistic_regression_prediction_v2.ipynb
 
 
5 2 2bad_inshilization_logistic_regression_with_mean_square_error_v2.ipynb
5 2 2bad_inshilization_logistic_regression_with_mean_square_error_v2.ipynb
 
 
5 3_cross_entropy_logistic_regression_v2.ipynb
5 3_cross_entropy_logistic_regression_v2.ipynb
 
 
Final Project League of Legends Match Predictor.ipynb
Final Project League of Legends Match Predictor.ipynb
 
 
Neural Network for Breast Cancer Classification.ipynb
Neural Network for Breast Cancer Classification.ipynb
 
 
lab2.ipynb
lab2.ipynb
 
 
league_of_legends_data_large.csv
league_of_legends_data_large.csv
 
 

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A PyTorch-based framework for binary classification on tabular datasets, featuring automated feature attribution through linear weight analysis and ROC-AUC performance evaluation.

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python3 predictive-analytics pytorch-training model-explainability data-science-pipeline
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