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udlbook
2025-01-29 10:32:57 -05:00
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Trees/LinearRegression_FitModel_Answers.ipynb
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@@ -4,7 +4,7 @@
"metadata": { "metadata": {
"colab": { "colab": {
"provenance": [], "provenance": [],
"authorship_tag": "ABX9TyOdviPInQvLKOR2WrPDqZxp", "authorship_tag": "ABX9TyM1295QftRarPE/1QkV+9xi",
"include_colab_link": true "include_colab_link": true
}, },
"kernelspec": { "kernelspec": {
@@ -42,11 +42,7 @@
"\n", "\n",
"The purpose of this Python notebook experiment with fitting the 1D regression model with a least squares loss using coordinate descent.\n", "The purpose of this Python notebook experiment with fitting the 1D regression model with a least squares loss using coordinate descent.\n",
"\n", "\n",
"Work through the cells below, running each cell in turn. In various places you will see the words \"TODO\". Follow the instructions at these places and write code to complete the functions.\n", "You can save a local copy of this notebook in your Google account and work through it in Colab (recommended) or you can download the notebook and run it locally using Jupyter notebook or similar. \n",
"\n",
"You can save a local copy of this notebook in your Google account and work through it in Colab (recommended) or you can download the notebook and run it locally using Jupyter notebook or similar. If you are using CoLab, we recommend that *turn off* AI autocomplete (under cog icon in top-right corner), which will give you the answers and defeat the purpose of the exercise.\n",
"\n",
"A fully working version of this notebook with the complete answers can be found here.\n",
"\n", "\n",
"Contact me at iclimbtreesmail@gmail.com if you find any mistakes or have any suggestions." "Contact me at iclimbtreesmail@gmail.com if you find any mistakes or have any suggestions."
], ],