Commit 22a91f61 authored by Eva Zangerle's avatar Eva Zangerle
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added notebook 08

parent 564928c6
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...@@ -16,6 +16,8 @@ ...@@ -16,6 +16,8 @@
" * (CleaningData): Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools; David Mertz; Packt Publishing, 2021; [Github repo](https://github.com/PacktPublishing/Cleaning-Data-for-Effective-Data-Science/)\n", " * (CleaningData): Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools; David Mertz; Packt Publishing, 2021; [Github repo](https://github.com/PacktPublishing/Cleaning-Data-for-Effective-Data-Science/)\n",
" * (FeatureEng): Feature Engineering for Machine Learning; Alice Zheng and Amanda Casari; O'Reilly, 2018; [Github repo](https://github.com/alicezheng/feature-engineering-book)\n", " * (FeatureEng): Feature Engineering for Machine Learning; Alice Zheng and Amanda Casari; O'Reilly, 2018; [Github repo](https://github.com/alicezheng/feature-engineering-book)\n",
" * (DSHandbook): Python Data Science Handbook; Jake VanderPlas; O'Reilly, 2016; [Github repo](https://github.com/jakevdp/PythonDataScienceHandbook)\n", " * (DSHandbook): Python Data Science Handbook; Jake VanderPlas; O'Reilly, 2016; [Github repo](https://github.com/jakevdp/PythonDataScienceHandbook)\n",
" * (PracticalStatistics): Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python; Peter Bruce, Andrew Bruce, and Peter Gedeck; O'Reilly, 2nd edition, 2020; [Github repo](https://github.com/gedeck/practical-statistics-for-data-scientists/)\n",
" \n",
"* Unless marked otherwise, code was written by Eva Zangerle.\n", "* Unless marked otherwise, code was written by Eva Zangerle.\n",
"* I deliberately mix different Python packages (e.g., for visualization matplotlib, pandas and seaborn) to showcase their use.\n", "* I deliberately mix different Python packages (e.g., for visualization matplotlib, pandas and seaborn) to showcase their use.\n",
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