René's URL Explorer Experiment


Title: GitHub - brunowdev/sparkify: This is the final project for the Data Scientist Nanodegree, where our goal is to predict churn for a fictional streaming service called Sparkify. · GitHub

Open Graph Title: GitHub - brunowdev/sparkify: This is the final project for the Data Scientist Nanodegree, where our goal is to predict churn for a fictional streaming service called Sparkify.

X Title: GitHub - brunowdev/sparkify: This is the final project for the Data Scientist Nanodegree, where our goal is to predict churn for a fictional streaming service called Sparkify.

Description: This is the final project for the Data Scientist Nanodegree, where our goal is to predict churn for a fictional streaming service called Sparkify. - brunowdev/sparkify

Open Graph Description: This is the final project for the Data Scientist Nanodegree, where our goal is to predict churn for a fictional streaming service called Sparkify. - brunowdev/sparkify

X Description: This is the final project for the Data Scientist Nanodegree, where our goal is to predict churn for a fictional streaming service called Sparkify. - brunowdev/sparkify

Opengraph URL: https://github.com/brunowdev/sparkify

X: @github

direct link

Domain: github.com

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og:image:altThis is the final project for the Data Scientist Nanodegree, where our goal is to predict churn for a fictional streaming service called Sparkify. - brunowdev/sparkify
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Sparkify.ipynbhttps://github.com/brunowdev/sparkify/blob/master/Sparkify.ipynb
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requirements.txthttps://github.com/brunowdev/sparkify/blob/master/requirements.txt
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visualizations.pyhttps://github.com/brunowdev/sparkify/blob/master/visualizations.py
READMEhttps://github.com/brunowdev/sparkify/tree/master
https://github.com/brunowdev/sparkify/tree/master#sparkify-capstone-project
herehttps://medium.com/@brunowdev/predicting-churn-with-pyspark-sparkify-capstone-project-5ad91781c491?source=friends_link&sk=26df5c31c0983f8d59f6d2939190511f
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https://github.com/brunowdev/sparkify/tree/master#table-of-contents
Requirementshttps://github.com/brunowdev/sparkify/tree/master#requirements
Project Overviewhttps://github.com/brunowdev/sparkify/tree/master#overview
File Descriptionshttps://github.com/brunowdev/sparkify/tree/master#files
Running the projecthttps://github.com/brunowdev/sparkify/tree/master#running
Resultshttps://github.com/brunowdev/sparkify/tree/master#results
https://github.com/brunowdev/sparkify/tree/master#requirements-
https://github.com/brunowdev/sparkify/tree/master#project-overview-
The notebook with the training processhttps://brunobitencourt.com/data/udacity/sparkify/Sparkify.html
The result analysis - For all the algorithms and metricshttps://brunobitencourt.com/data/udacity/sparkify/Results+-+Spark.html
The data exploration (with the raw data and the final version with the new engineered features)https://brunobitencourt.com/data/udacity/sparkify/Data+Exploration.html
herehttps://medium.com/@brunowdev/predicting-churn-with-pyspark-sparkify-capstone-project-5ad91781c491?source=friends_link&sk=26df5c31c0983f8d59f6d2939190511f
https://github.com/brunowdev/sparkify/tree/master#file-descriptions-
https://github.com/brunowdev/sparkify/tree/master#dataset
herehttps://brunobitencourt.com/data/udacity/sparkify/full_sparkify_event_data.json
herehttps://brunobitencourt.com/data/udacity/sparkify/sparkify_full_csv_data.csv
https://github.com/brunowdev/sparkify/tree/master#running-the-project-
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https://github.com/brunowdev/sparkify/tree/master#results-
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bit.ly/sparkify-projecthttps://bit.ly/sparkify-project
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