Name	Name	Last commit message	Last commit date
Latest commit History 113 Commits
data	data
images	images
.gitignore	.gitignore
Advanced NLP Tasks with NLTK.ipynb	Advanced NLP Tasks with NLTK.ipynb
Amazon Reviews.ipynb	Amazon Reviews.ipynb
Attention Basics.ipynb	Attention Basics.ipynb
AutoDetect_COVID_FakeNews.ipynb	AutoDetect_COVID_FakeNews.ipynb
Automatically Summarize Trump's State of the Union Address.ipynb	Automatically Summarize Trump's State of the Union Address.ipynb
Avito Duplicate Ads Detection.ipynb	Avito Duplicate Ads Detection.ipynb
BOW_TFIDF_Xgboost_update.ipynb	BOW_TFIDF_Xgboost_update.ipynb
Basic NLP Tasks with NLTK.ipynb	Basic NLP Tasks with NLTK.ipynb
Bayesian_Inference.ipynb	Bayesian_Inference.ipynb
Cleaning Text.ipynb	Cleaning Text.ipynb
ColumnTransformer Meets NLP.ipynb	ColumnTransformer Meets NLP.ipynb
Comment_backToWork.ipynb	Comment_backToWork.ipynb
Deciphering Code with Character-Level RNN.ipynb	Deciphering Code with Character-Level RNN.ipynb
Dedupe.ipynb	Dedupe.ipynb
Doc2Vec Consumer Complaint.ipynb	Doc2Vec Consumer Complaint.ipynb
Doc2Vec Consumer Complaint_3.ipynb	Doc2Vec Consumer Complaint_3.ipynb
EDA and visualization for Text Data.ipynb	EDA and visualization for Text Data.ipynb
Fake news classifier TensorFlow 2.0.ipynb	Fake news classifier TensorFlow 2.0.ipynb
Fake_News_LogReg.ipynb	Fake_News_LogReg.ipynb
Flair Practice.ipynb	Flair Practice.ipynb
Fuzzy String Matching.ipynb	Fuzzy String Matching.ipynb
HMM Tagger.html	HMM Tagger.html
HMM Tagger.ipynb	HMM Tagger.ipynb
HMM warmup (optional).ipynb	HMM warmup (optional).ipynb
Hidden Markov Models for POS.ipynb	Hidden Markov Models for POS.ipynb
Hotel Description Generation LSTM.ipynb	Hotel Description Generation LSTM.ipynb
LDA.ipynb	LDA.ipynb
LDA_news_headlines.ipynb	LDA_news_headlines.ipynb
LDA_podcast.ipynb	LDA_podcast.ipynb
LIME_SHAP_StackOverflow.ipynb	LIME_SHAP_StackOverflow.ipynb
Latent Semantic Analysis_reviews.ipynb	Latent Semantic Analysis_reviews.ipynb
Multi-Class Text Classification LSTM Consumer complaints.ipynb	Multi-Class Text Classification LSTM Consumer complaints.ipynb
NER 500newsgoldstandard.ipynb	NER 500newsgoldstandard.ipynb
NER_NLTK_Spacy.ipynb	NER_NLTK_Spacy.ipynb
NER_sklearn.ipynb	NER_sklearn.ipynb
Named Entity Recognition using LSTMs with Keras.ipynb	Named Entity Recognition using LSTMs with Keras.ipynb
Query Wellformedness.ipynb	Query Wellformedness.ipynb
Quora Topic Modeling_scikit learn_LDA.ipynb	Quora Topic Modeling_scikit learn_LDA.ipynb
Quora Topic Modeling_scikit learn_NMF.ipynb	Quora Topic Modeling_scikit learn_NMF.ipynb
Quora_bow_tfidf_randomforest.ipynb	Quora_bow_tfidf_randomforest.ipynb
README.md	README.md
Rank_metrics.ipynb	Rank_metrics.ipynb
Search relevance.ipynb	Search relevance.ipynb
Sentiment Analysis with RNN.ipynb	Sentiment Analysis with RNN.ipynb
Sklearn_20newsgroups.ipynb	Sklearn_20newsgroups.ipynb
Text Classification Workshop.ipynb	Text Classification Workshop.ipynb
Text Classification model selection.ipynb	Text Classification model selection.ipynb
Text Processing_Udacity Practice.ipynb	Text Processing_Udacity Practice.ipynb
TextBlob Yelp Reviews.ipynb	TextBlob Yelp Reviews.ipynb
Text_Classification_With_BERT.ipynb	Text_Classification_With_BERT.ipynb
Topic Modeling for Data Preprocessing.ipynb	Topic Modeling for Data Preprocessing.ipynb
Topic Modeling.ipynb	Topic Modeling.ipynb
Toxic Comments LSTM GloVe.ipynb	Toxic Comments LSTM GloVe.ipynb
Web scraping Hilton Hawaiian Village TripAdvisor Reviews.py	Web scraping Hilton Hawaiian Village TripAdvisor Reviews.py
Word2vec_xgboost.ipynb	Word2vec_xgboost.ipynb
Working with Text Data in Pandas.ipynb	Working with Text Data in Pandas.ipynb
Working with Text.ipynb	Working with Text.ipynb
Xgboost_bow_tfidf.ipynb	Xgboost_bow_tfidf.ipynb
brown-universal.txt	brown-universal.txt
fake_news_COVID.ipynb	fake_news_COVID.ipynb
helper.py	helper.py
helpers.py	helpers.py
machine_translation.html	machine_translation.html
machine_translation.ipynb	machine_translation.ipynb
project_tests.py	project_tests.py
requirements.txt	requirements.txt
room_type.csv	room_type.csv
sentiment_analysis.ipynb	sentiment_analysis.ipynb
speak.txt	speak.txt
tags-universal.txt	tags-universal.txt
text_processing.ipynb	text_processing.ipynb

Name

Last commit message

Last commit date

113 Commits

data

images

.gitignore

Advanced NLP Tasks with NLTK.ipynb

Amazon Reviews.ipynb

Attention Basics.ipynb

AutoDetect_COVID_FakeNews.ipynb

Automatically Summarize Trump's State of the Union Address.ipynb

Avito Duplicate Ads Detection.ipynb

BOW_TFIDF_Xgboost_update.ipynb

Basic NLP Tasks with NLTK.ipynb

Bayesian_Inference.ipynb

Cleaning Text.ipynb

ColumnTransformer Meets NLP.ipynb

Comment_backToWork.ipynb

Deciphering Code with Character-Level RNN.ipynb

Dedupe.ipynb

Doc2Vec Consumer Complaint.ipynb

Doc2Vec Consumer Complaint_3.ipynb

EDA and visualization for Text Data.ipynb

Fake news classifier TensorFlow 2.0.ipynb

Fake_News_LogReg.ipynb

Flair Practice.ipynb

Fuzzy String Matching.ipynb

HMM Tagger.html

HMM Tagger.ipynb

HMM warmup (optional).ipynb

Hidden Markov Models for POS.ipynb

Hotel Description Generation LSTM.ipynb

LDA.ipynb

LDA_news_headlines.ipynb

LDA_podcast.ipynb

LIME_SHAP_StackOverflow.ipynb

Latent Semantic Analysis_reviews.ipynb

Multi-Class Text Classification LSTM Consumer complaints.ipynb

NER 500newsgoldstandard.ipynb

NER_NLTK_Spacy.ipynb

NER_sklearn.ipynb

Named Entity Recognition using LSTMs with Keras.ipynb

Query Wellformedness.ipynb

Quora Topic Modeling_scikit learn_LDA.ipynb

Quora Topic Modeling_scikit learn_NMF.ipynb

Quora_bow_tfidf_randomforest.ipynb

README.md

Rank_metrics.ipynb

Search relevance.ipynb

Sentiment Analysis with RNN.ipynb

Sklearn_20newsgroups.ipynb

Text Classification Workshop.ipynb

Text Classification model selection.ipynb

Text Processing_Udacity Practice.ipynb

TextBlob Yelp Reviews.ipynb

Text_Classification_With_BERT.ipynb

Topic Modeling for Data Preprocessing.ipynb

Topic Modeling.ipynb

Toxic Comments LSTM GloVe.ipynb

Web scraping Hilton Hawaiian Village TripAdvisor Reviews.py

Word2vec_xgboost.ipynb

Working with Text Data in Pandas.ipynb

Working with Text.ipynb

Xgboost_bow_tfidf.ipynb

brown-universal.txt

fake_news_COVID.ipynb

helper.py

helpers.py

machine_translation.html

machine_translation.ipynb

project_tests.py

requirements.txt

room_type.csv

sentiment_analysis.ipynb

speak.txt

tags-universal.txt

text_processing.ipynb

NLP with Python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

Setup

VSCode with python3 and virtual environment:

python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
code .

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