Metadata-Version: 2.1
Name: optimal_data_selector
Version: 1.1.7
Summary: ('A Package for to optimize models, 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')
Author: Rohan Majumder
Author-email: majumderrohan2001@gmail.com
Keywords: get best data combination,lock data combination,save data,English,Pronouns,Punctuations,English pronouns,Model training,optimise accuracy,lock data combination,gives best result,best data for ML models,works on text data also,short word treatment,Image Scraping,download images,Web Image Scraping,timeseries,splitting timeseries data into train and test,deal with emojis and emoticons,emoji,emojis,emoticon,emoticons,word tokenize,NLP,short words,short words treatment,get best accuracy,performence enhancing,best data,more accurate model building,word to token,tokenizer
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: Unix
Classifier: Operating System :: POSIX
Classifier: Operating System :: iOS
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
License-File: LICENSE

A package to increase the accuracy of ML models, 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
