train-validation-test

There are 0 repository under train-validation-test topic.

rochitasundar / Predictive-maintenance-cost-minimization-using-ML-ReneWind
The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.
classification-algorithims cross-validation smote-sampling random-under-sampling train-validation-test sklearn-metrics pipeline randomizedsearchcv
Language:Jupyter Notebook 20
abdullah-al-masud / msdlib
This is a custom library for data processing, visualization and machine learning tools.
data-processing data-science machine-learning filters time-series-analysis time-series-visualization data-visualization train-validation-test sequence-data-split feature-evaluator feature-importance pytorch-model classification-model pytorch-classification pytorch-regression
Language:Python 14
jsk1107 / coco_utils
Split train/val/test coco dataset and Adjust annotations & categories.
adjust-categoy coco dataset delete-category split-data train-validation-test
Language:Python 1
manjugovindarajan / RENEWIND-predictive-maintenance-cost-maintenance-usingML
The aim is to decrease maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionizing model using pipelines
classification-algorithims cross-validation pipeline random-under-sampling randomizedsearchcv sklearn-metrics smote-sampling train-validation-test
Language:Jupyter Notebook 0
Wafama / Thesis_Code
Classifying Travel Mode choice in the Netherlands using KNN, XGBoost, RF and TabNet
explainable-ai geospatial-data lime optuna shap travel oversampling smote-tomek undersampling spatial-data weight-matrix knn-algorithm mode-choice random-forest-classifier tabnet xgboost-classifier moran-i spatial-autocorrelation train-validation-test
Language:Jupyter Notebook 0

train-validation-test

rochitasundar / Predictive-maintenance-cost-minimization-using-ML-ReneWind

abdullah-al-masud / msdlib

jsk1107 / coco_utils

manjugovindarajan / RENEWIND-predictive-maintenance-cost-maintenance-usingML

Wafama / Thesis_Code