MoleculeNet benchmark dataset & MolMapNet dataset
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Mar 29, 2022 - HTML
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MoleculeNet benchmark dataset & MolMapNet dataset
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。
An Exploratory Toolkit for Recommender Systems Datasets and Splits
Data-Splitter is a Python script designed to split a large CSV file containing data into three different formats: JSON, a database table, and another CSV file. The script ensures a random distribution of data across the three output formats based on custom-defined ratios.
sql-server python-script data-transformation data-engineering data-analysis data-integration data-manipulation database-connection data-conversion csv-processing json-processing numpy-library pandas-library csv-to-json data-splitting csv-to-database random-data-distributiony sqlalchemy-library data-distribution-strategies
Automated leakage-aware splitting of a given PPI dataset into train, validation, and test set
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
splitting image dataset into train, val, test sets
Reproducible archetype-based train/test splitting and benchmarking for ML data sets
benchmarking benchmarks benchmark-framework archetypes test-train-dataset edge-cases data-split data-splitting archetypal-analysis test-train-split edge-case-testing archetypal-ai
Analyzed customer churn using transaction data. Built ML model to predict lapses. Dataset includes customer status, collection/redemption info, and program tenure. Delivered business presentation outlining modeling approach, findings, and churn reduction strategies.
neural-network random-forest logistic-regression support-vector-machine data-preprocessing feature-engineering decision-tree cluster-analysis gradient-boosting model-interpretation data-driven-decisions data-splitting model-optimization sas-visual-analytics model-selection-and-evaluation
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.
This project focuses on cleaning and analyzing a loan application dataset to gain insights into the factors influencing loan defaults. Through systematic data cleaning, visualization, and merging with previous application data, it provides a robust foundation for further predictive modeling.
python numpy heatmap scikit-learn jupyter-notebook pandas seaborn matplotlib binning feature-engineering dataframe data-cleaning boxplot correlation-matrix data-splitting
ML model for Crop Detection
machine-learning data-visualization data-extraction data-augmentation cnn-architecture vgg16-model data-splitting
Julia package for "FDR Control via Data Splitting for Testing-after-Clustering (arXiv: 2410.06451)"
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
In this project, I have used logistic regression, a supervised machine learning algorithm, to predict whether a person has diabetes or not based on various features such as age, blood pressure, glucose level, body mass index, etc. I have used Python and popular libraries such as Pandas, Scikit-Learn, and Matplotlib to perfom model building
data-visualization logistic-regression data-exploration correlation-analysis datapreparation data-splitting additional-analysis-prediction
A basic Python script to split a .dat file into individual sample files.
Comparative Analysis of Data Protection Mechanisms in Public Clouds
Cross-platform Excel multi-sheet splitter: split each sheet by one selected column while preserving formatting via native Excel/WPS automation.
python windows macos excel xlsx spreadsheet tkinter pywin32 chinese wps-office excel-automation single-column data-splitting report-automation com-automation format-preservation excel-splitter multi-sheet
Embedding-based method for splitting datasets semantically
Binning and data-splitting methods for biological data workflows.
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