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Bayesian
Bayesian
 
 
NLP
NLP
 
 
OCR
OCR
 
 
PDF Analytics
PDF Analytics
 
 
ClusteringMethods.py
ClusteringMethods.py
 
 
Count_Vectorization.ipynb
Count_Vectorization.ipynb
 
 
DataCleaning.ipynb
DataCleaning.ipynb
 
 
Feature_Engineering.ipynb
Feature_Engineering.ipynb
 
 
GradientBoostingClassifier.ipynb
GradientBoostingClassifier.ipynb
 
 
NLP_Analysis_Microsoft_Products.R
NLP_Analysis_Microsoft_Products.R
 
 
README.md
README.md
 
 
RandomForestClassifier.ipynb
RandomForestClassifier.ipynb
 
 
Stemming.ipynb
Stemming.ipynb
 
 
assign_value_1.py
assign_value_1.py
 
 
assign_value_2.py
assign_value_2.py
 
 
assign_value_3.py
assign_value_3.py
 
 
get_File_Names.py
get_File_Names.py
 
 
item.odg
item.odg
 
 
parseTree.py
parseTree.py
 
 
search_in_other.py
search_in_other.py
 
 
search_in_other_2.py
search_in_other_2.py
 
 
search_in_other_3.py
search_in_other_3.py
 
 
search_in_other_4.py
search_in_other_4.py
 
 
search_in_other_5.py
search_in_other_5.py
 
 
search_in_other_lemmatized.py
search_in_other_lemmatized.py
 
 
sine_visualise.py
sine_visualise.py
 
 

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TextMining

This folder contains my Text Analytics and Natual Language pre-processing (NLP) Models of various AI & Machine Learning projects of mine. Including XGBoost and Random Forest classifation models, count Vectorisation, Feature Engineering.

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Text Analytics | NLP

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