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.

Name		Name	Last commit message	Last commit date
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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