Commit 1ce2d489 authored by Eva Zangerle's avatar Eva Zangerle
Browse files

added regression to notebook 09

parent ff243d90
...@@ -28,6 +28,8 @@ yapf = "*" ...@@ -28,6 +28,8 @@ yapf = "*"
pre-commit = "*" pre-commit = "*"
plotly = "*" plotly = "*"
watermark = "*" watermark = "*"
graphviz = "*"
xgboost = "*"
[dev-packages] [dev-packages]
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...@@ -17,6 +17,8 @@ ...@@ -17,6 +17,8 @@
" * (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", " * (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",
" * (PyML): Python Machine Learning; Raschka, Sebastian, and Vahid Mirjalili; 3rd Edition, Packt Publishing, 2019; [Github repo](https://github.com/rasbt/python-machine-learning-book-3rd-edition)\n",
"\n",
" \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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