optimal-data-selector
Advanced tools
('A Package for optimize models, transfer or copy files from one directory to other, use for nlp short word treatment, choosing optimal data for ML models, use for Image Scraping , use in timeseries problem to split the data into train and test', 'Deal with emojis and emoticons in nlp,word tokenize,token, get the list of Punctuation marks and English Pronouns too, can be used to read text files')
A package to increase the accuracy of ML models, transfer or copy files from one directory to other, gives you the best data for model training, works on text data also, short word treatment for NLP problems, can be used for Image Scraping also, use it to split the timeseries data into training and testing, deal with emojis and emoticons,word tokenizer,tokenize words,can be use to remove stop words too,Punctuations and get English Pronouns list too, use to read text files
FAQs
('A Package for optimize models, transfer or copy files from one directory to other, use for nlp short word treatment, choosing optimal data for ML models, use for Image Scraping , use in timeseries problem to split the data into train and test', 'Deal with emojis and emoticons in nlp,word tokenize,token, get the list of Punctuation marks and English Pronouns too, can be used to read text files')
We found that optimal-data-selector demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Product
Our redesigned Repositories page adds alert severity, filtering, and tabs for faster triage and clearer insights across all your projects.
Security News
Slopsquatting is a new supply chain threat where AI-assisted code generators recommend hallucinated packages that attackers register and weaponize.
Security News
Multiple deserialization flaws in PyTorch Lightning could allow remote code execution when loading untrusted model files, affecting versions up to 2.4.0.
