train-validation-test

Here are 10 public repositories matching this 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.

pipeline cross-validation classification-algorithims sklearn-metrics randomizedsearchcv train-validation-test smote-sampling random-under-sampling

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Jupyter Notebook

abdullah-al-masud / msdlib

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This is a custom library for data processing, visualization and machine learning tools.

data-science machine-learning data-visualization filters data-processing time-series-analysis feature-importance classification-model pytorch-classification pytorch-model pytorch-regression time-series-visualization train-validation-test sequence-data-split feature-evaluator

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HTML

hurkanugur / Car-Price-Predictor

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This project predicts used car prices using a feedforward neural network regression model implemented in PyTorch. Features include car age, mileage, and other attributes. The pipeline supports feature normalization, train/validation/test splitting, and visualization of training and validation loss curves.

python deep-learning scikit-learn pandas pytorch batch-normalization regression-models data-normalization gradio model-evaluation he-initializer adam-optimizer model-training price-prediction relu-layer car-price-prediction train-validation-test mean-squared-error gradio-interface gradio-app

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Python

X-XENDROME-X / Advanced-ResNet-Image-Classification

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Advanced CIFAR-10 image classification using ResNet-inspired CNN with residual blocks, achieving 92%+ accuracy through comprehensive regularization, data augmentation, and professional ML engineering practices.

computer-vision deep-learning scikit-learn jupyter-notebook cnn pytorch seaborn dropout batch-normalization image-classification matplotlib resnet regularization cifar10 data-augmentation model-evaluation interpretability weight-decay train-validation-test

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Jupyter Notebook

jsk1107 / coco_utils

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Split train/val/test coco dataset and Adjust annotations & categories.

dataset coco split-data train-validation-test adjust-categoy delete-category

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Python

Wafama / Thesis_Code

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Classifying Travel Mode choice in the Netherlands using KNN, XGBoost, RF and TabNet

travel geospatial-data spatial-data lime oversampling undersampling random-forest-classifier explainable-ai knn-algorithm spatial-autocorrelation shap optuna weight-matrix tabnet xgboost-classifier moran-i train-validation-test mode-choice smote-tomek

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Jupyter Notebook

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

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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

pipeline cross-validation classification-algorithims sklearn-metrics randomizedsearchcv train-validation-test smote-sampling random-under-sampling

Updated
Jupyter Notebook

Princemurchale / -Predictive-Maintenance-for-Renewable-Energy-Sources

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pipeline cross-validation sklearn-metrics randomizedsearchcv train-validation-test smote-sampling random-under-sampling classfication-algorithms

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hurkanugur / ResNet-Tire-Classifier

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Tire condition classification using ResNet and transfer learning. This project applies deep learning to identify whether a tire is in good or bad condition based on image data.

classifier deep-neural-networks dropout batch-normalization classification resnet transfer-learning gradio model-evaluation softmax resnet-50 adam-optimizer model-training softmax-classifier relu weights-and-biases train-validation-test gradio-interface model-training-and-evaluation gradio-app

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Python

hurkanugur / Loan-Approval-Classifier

Star

This project predicts loan approval outcomes (Approved/Rejected) using a PyTorch neural network. It includes data preprocessing, train/validation/test split, model training with BCEWithLogitsLoss, and inference with probability-based classification.

python deep-neural-networks deep-learning neural-network pytorch classification gradio adam-optimizer sigmoid-function relu-layer matplotlib-python data-split data-splitting train-validation-test gradio-interface loan-prediction-model binary-cross-entropy binary-cross-entropy-loss gradio-ui gradio-app

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Python

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