Top Stories, Jul 23-29: Cookiecutter Data Science: How to Organize Your Data Science Project; Comparison of Top 6 Python NLP Libraries

Most Popular Last Week

1. Cookiecutter Data Science: How to Organize Your Data Science Project, by DrivenData
2. 5 Data Science Projects That Will Get You Hired in 2018, by John Sullivan
3. Cartoon: Data Scientist was the sexiest job of the 21st century until
4. Comparison of Top 6 Python NLP Libraries
5. How to Build a Data Science Portfolio
6. Genetic Algorithm Implementation in Python
7. Why Germany did not defeat Brazil in the final, or Data Science lessons from the World Cup

Most Shared Last Week

1. Comparison of Top 6 Python NLP Libraries, by ActiveWizards - Jul 23, 2018.
2. Genetic Algorithm Implementation in Python, by Ahmed Gad - Jul 24, 2018.
3. How to Build a Data Science Portfolio - Jul 25, 2018.
4. DevOps for Data Scientists: Taming the Unicorn - Jul 27, 2018.
5. Why Germany did not defeat Brazil in the final, or Data Science lessons from the World Cup - Jul 24, 2018.
6. 9 Reasons why your machine learning project will fail - Jul 25, 2018.
7. Remote Data Science: How to Send R and Python Execution to SQL Server from Jupyter Notebooks - Jul 27, 2018.

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1. Cartoon: Data Scientist was the sexiest job of the 21st century until
2. 5 Data Science Projects That Will Get You Hired in 2018
3. 5 of Our Favorite Free Visualization Tools
4. SQL Cheat Sheet
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6. The 5 Clustering Algorithms Data Scientists Need to Know
7. 30 Free Resources for Machine Learning, Deep Learning, NLP & AI

Most Shared Past 30 Days

1. 5 Data Science Projects That Will Get You Hired in 2018 - Jun 26, 2018.
2. Dimensionality Reduction: Does PCA really improve classification outcome? - Jul 13, 2018.
3. 30 Free Resources for Machine Learning, Deep Learning, NLP & AI - Jun 25, 2018.
4. Comparison of Top 6 Python NLP Libraries - Jul 23, 2018.
5. Causation in a Nutshell - Jul 20, 2018.
6. Analyze a Soccer (Football) Game Using Tensorflow Object Detection and OpenCV - Jul 10, 2018.
7. Top 20 Python Libraries for Data Science in 2018 - Jun 27, 2018.