Apress Source Code

This repository accompanies Advanced Data Analytics Using Python by Sayan Mukhopadhyay (Apress, 2018).

Download the files as a zip using the green button, or clone the repository to your machine using Git.

Releases

Release v1.0 corresponds to the code in the published book, without corrections or updates.

See the file Contributing.md for more information on how you can contribute to this repository.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
src		src
.gitattributes		.gitattributes
9781484234495.jpg		9781484234495.jpg
Airline2.py		Airline2.py
Airline_friendly_patient_efficient cabin crew.py		Airline_friendly_patient_efficient cabin crew.py
Airline_worst_experience_ever.py		Airline_worst_experience_ever.py
Arima.py		Arima.py
Contributing.md		Contributing.md
LICENSE.txt		LICENSE.txt
NumericalDataClassification.py		NumericalDataClassification.py
README.md		README.md
Recursive_Levenshtein.py		Recursive_Levenshtein.py
Text in clustering.py		Text in clustering.py
airline1.py		airline1.py
arma.py		arma.py
autoregressive model.py		autoregressive model.py
classifier1.py		classifier1.py
classifier2.py		classifier2.py
clustering_with_k_mean.py		clustering_with_k_mean.py
code.R		code.R
customsearch.py		customsearch.py
errata.md		errata.md
knn_classifier.py		knn_classifier.py
least square estimation linear regression.py		least square estimation linear regression.py
log_reg.py		log_reg.py
log_reg_regular.py		log_reg_regular.py
moving average.py		moving average.py
rnn_keras_timeseries_stock.py		rnn_keras_timeseries_stock.py
se_test1.py		se_test1.py