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.github/ISSUE_TEMPLATE		.github/ISSUE_TEMPLATE
20-news-groups-classification-prediction-cnns.ipynb		20-news-groups-classification-prediction-cnns.ipynb
21-pandas-tips-every-data-scientist-should-know.ipynb		21-pandas-tips-every-data-scientist-should-know.ipynb
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
README.md		README.md
SECURITY.md		SECURITY.md
amazon-reviews-sentiment-analysis-with-keras.ipynb		amazon-reviews-sentiment-analysis-with-keras.ipynb
analysis-of-airbnb-data-new-york-city.ipynb		analysis-of-airbnb-data-new-york-city.ipynb
chest-x-ray-medical-diagnosis-with-cnn-densenet.ipynb		chest-x-ray-medical-diagnosis-with-cnn-densenet.ipynb
data-science-best-practices-using-pandas-titanic.ipynb		data-science-best-practices-using-pandas-titanic.ipynb
data-science-best-practices-with-pandas-part-1.ipynb		data-science-best-practices-with-pandas-part-1.ipynb
data-science-best-practices-with-pandas-part-2.ipynb		data-science-best-practices-with-pandas-part-2.ipynb
data-science-best-practices-with-pandas-part-3.ipynb		data-science-best-practices-with-pandas-part-3.ipynb
decision-trees-random-forest-for-beginners.ipynb		decision-trees-random-forest-for-beginners.ipynb
digit-recognizer-using-anns-cnns.ipynb		digit-recognizer-using-anns-cnns.ipynb
ensemble-ml-algorithms-bagging-boosting-voting.ipynb		ensemble-ml-algorithms-bagging-boosting-voting.ipynb
how-to-analyse-large-datasets-dask-tutorial.ipynb		how-to-analyse-large-datasets-dask-tutorial.ipynb
hyperparameter-optimization-for-machine-learning.ipynb		hyperparameter-optimization-for-machine-learning.ipynb
ibm-hr-analytics-employee-attrition-performance.ipynb		ibm-hr-analytics-employee-attrition-performance.ipynb
k-means-clustering-private-vs-public-universities.ipynb		k-means-clustering-private-vs-public-universities.ipynb
knneighbors-private-vs-public-universities.ipynb		knneighbors-private-vs-public-universities.ipynb
logistic-regression-data-preprocessing.ipynb		logistic-regression-data-preprocessing.ipynb
minimizing-churn-rate-of-an-audiobook-app-users.ipynb		minimizing-churn-rate-of-an-audiobook-app-users.ipynb
nlp with spacy nltk gensim.ipynb		nlp with spacy nltk gensim.ipynb
nlp-with-spacy-nltk-gensim.ipynb		nlp-with-spacy-nltk-gensim.ipynb
outlier-detection-using-pdf-and-z-score.ipynb		outlier-detection-using-pdf-and-z-score.ipynb
practical-introduction-to-10-regression-algorithm.ipynb		practical-introduction-to-10-regression-algorithm.ipynb
predict-employee-absenteeism-from-work.ipynb		predict-employee-absenteeism-from-work.ipynb
predict-the-churn-of-your-valuable-customers.ipynb		predict-the-churn-of-your-valuable-customers.ipynb
predicting-heart-disease-using-machine-learning.ipynb		predicting-heart-disease-using-machine-learning.ipynb
predicting-houses-prices-using-anns.ipynb		predicting-houses-prices-using-anns.ipynb
sentiment-model-with-tensorflow-transformers.ipynb		sentiment-model-with-tensorflow-transformers.ipynb
signal-processing-with-python.ipynb		signal-processing-with-python.ipynb
spacy-chapter-1-finding-words-phrases-names.ipynb		spacy-chapter-1-finding-words-phrases-names.ipynb
spacy-chapter-2-large-scale-data-analysis.ipynb		spacy-chapter-2-large-scale-data-analysis.ipynb
spacy-chapter-3-processing-pipelines.ipynb		spacy-chapter-3-processing-pipelines.ipynb
stock-market-analysis-prediction-using-lstm.ipynb		stock-market-analysis-prediction-using-lstm.ipynb
support-vector-machine-pca-tutorial-for-beginner.ipynb		support-vector-machine-pca-tutorial-for-beginner.ipynb
text-analysis-topic-modeling-with-spacy-gensim.ipynb		text-analysis-topic-modeling-with-spacy-gensim.ipynb
transfer-learning-for-natural-language-processing.ipynb		transfer-learning-for-natural-language-processing.ipynb
xgboost-vs-lightgbm-vs-catboost-vs-adaboost.ipynb		xgboost-vs-lightgbm-vs-catboost-vs-adaboost.ipynb

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