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pypi.org : adaptivebridge
Revolutionizing ML adaptive modelling for handling missing features and data. The model can predict missing data in real-world scenarios.
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purl: pkg:pypi/adaptivebridge
Keywords: sklearn, scikit-learn, python, data analysis, machine learning, data visualization, python library, data processing, data science, data exploration, data manipulation, analytics, statistics, artificial intelligence, AI, feature engineering, data preprocessing, predictive modeling, classification, regression, missing data, data cleaning, data imputation, data quality, missing data analysis, data handling, data integrity, data cleansing, data wrangling, data validation, data completeness, impute missing values, data missingness, missing data detection, data quality assessment, data pre-processing tool
License: MIT
Latest release: 4 months ago
First release: 8 months ago
Downloads: 48 last month
Stars: 1 on GitHub
Forks: 0 on GitHub
Total Commits: 89
Committers: 3
Average commits per author: 29.667
Development Distribution Score (DDS): 0.337
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Last synced: 15 days ago