8 Shell Commands for Data Science

AI for pricing. Radio analysis with SQL. Your year on Kaggle. Extracting data from PDF with R. [DataCamp]( DataCamp Weekly Issue #31 ― January 9, 2018 Hi DataCamp Weekly readers - we hope your new year’s resolutions are still going strong! Need some data science projects or resources to start the year off right? Worry not, below you’ll find 8 shell commands for data science, 10 best data visualizations projects of 2017, your year on Kaggle, quantum machine learning and more. Enjoy! Like what you’re seeing? Forward to a friend! Received this email from a friend? [Sign up]( for a DataCamp account to to receive a dose of data science every Tuesday. Projects & Resources [8 Shell Commands for Data Science]( Which shell commands do data scientists use nearly every day? Discover and learn how to use them in this tutorial. [datacamp.com]( [Live-Coding Recap: Kaggle Competition with ML]( Here’s a recap post outlining all the resources from the second live-coding session. Including the live-coding video, the GitHub repo, and the detailed tutorials for each submission. [datacamp.com]( [How AI Learns What You’re Willing to Pay]( Interesting article on what goes into pricing algorithms. This thought-provoking article gives an overview of how AI estimates willingness to pay, and how that shapes demand. [kdnuggets.com]( In the News [Your Year on Kaggle: Most Memorable Community Stats from 2017]( Like last year, Kaggle released an end-of-year review of their community. A good way to check the pulse of the data science community. 2017 seemed to have been a busy year! [kaggle.com]( [Analyze one year of radio station songs aired with SQL, Spark, Spotify, and Databricks]( This analysis is great and goes much further than most. The author analyzes 4 French radio stations in various ways. From music genres to airtimes, ad time, number of tracks over time and more. Interesting and thorough article. [medium.com]( [Quantum Machine Learning: An Overview]( Ever heard of quantum machine learning? Here’s an interesting introduction to this interdisciplinary field. [kdnuggets.com]( Elsewhere • [Transitioning From Academia to Industry: Perspectives from Indeed’s Data Scientists]( • [AI and Deep Learning in 2017 – A Year in Review]( • [How to extract data from a PDF file with R]( • [How to perform Logistic Regression, LDA, & QDA in R]( Jobs • [Core Data Science, PhD Intern, Facebook, London]( • [Customer Data Scientist, H2o.ai, Boston]( That's all for now. Have a great week! [DataCamp] [DataCamp]( DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118 [Facebook] [Facebook]( [Twitter] [Twitter]( [LinkedIn] [LinkedIn]( [YouTube] [YouTube]( [Unsubscribe](