A Python toolkit for file processing, text cleaning and data splitting. 文件处理，文本清洗和数据划分的python工具包。
-
Updated
Oct 18, 2022 - Python
#
data-splitting
Here are 11 public repositories matching this topic...
splitting image dataset into train, val, test sets
-
Updated
Apr 23, 2023 - Python
ML model for Crop Detection
machine-learning data-visualization data-extraction data-augmentation cnn-architecture vgg16-model data-splitting
-
Updated
Dec 16, 2021 - Python
A basic Python script to split a .dat file into individual sample files.
-
Updated
Apr 21, 2021 - Python
Predicting company bankruptcy using various machine learning models. The dataset is sourced from Kaggle: Company Bankruptcy Prediction.
python machine-learning svm cross-validation ml feature-selection dataset xgboost data-analysis logistic-regression support-vector-machine feature-scaling k-nn outlier-removal smote random-forest-classifier k-nearest-neighbors catboost data-splitting class-imbalance-handling
-
Updated
Aug 7, 2024 - Python
Apply DUPLEX data split to the given dataset and return training and test datasets. REF: Snee, R. D. (1977). Validation of regression models: methods and examples. Technometrics, 19(4), 415-428.
-
Updated
Feb 10, 2020 - Python
Split a dataset into subsets of specified sizes such that each subset preserves the original label distribution enhanced by stratification on UMAP-based pseudo-labels. This method ensures splits are balanced both by true labels and the data’s underlying manifold structure.
-
Updated
Jul 19, 2025 - Python
Focus on selecting datasets suitable for a machine learning experiment, with an emphasis on data cleaning, encoding, and transformation steps necessary to prepare the data.
-
Updated
Nov 23, 2023 - Python
Code used for the analysis described in "Towards mobile music emotion recognition with cEEGrid", studying MER with a range of models, feature extraction, and data splitting techniques. Set up for the DEAP and DAAMEE datasets.
deep-learning eeg emotion-recognition eeg-analysis eeg-classification emotion-classification eeg-emotion-recognition data-splitting mobile-eeg
-
Updated
Aug 21, 2025 - Python
A simple PyTorch-based neural network that classifies student exam outcomes (Pass/Fail) using study hours and previous exam scores. Implements dataset splitting (train/val/test), mini-batch training, and evaluation with configurable hyperparameters.
python machine-learning deep-learning neural-network pandas pytorch dataset neural-networks mini-batch sigmoid adam-optimizer sigmoid-function relu relu-layer train-model data-split data-splitting binary-cross-entropy-loss exam-pass-fail-classifier exam-pass-fail-predictor
-
Updated
Oct 5, 2025 - Python
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
-
Updated
Oct 13, 2025 - Python
Improve this page
Add a description, image, and links to the data-splitting topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the data-splitting topic, visit your repo's landing page and select "manage topics."