From 84a11d68ed5ee8879b8f15fba6f0f8dd935a175b Mon Sep 17 00:00:00 2001 From: udlbook <110402648+udlbook@users.noreply.github.com> Date: Wed, 29 Jan 2025 10:29:54 -0500 Subject: [PATCH] Created using Colab --- Trees/LinearRegression_LossFunction_Answers.ipynb | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) diff --git a/Trees/LinearRegression_LossFunction_Answers.ipynb b/Trees/LinearRegression_LossFunction_Answers.ipynb index a32ce3a..48dd087 100644 --- a/Trees/LinearRegression_LossFunction_Answers.ipynb +++ b/Trees/LinearRegression_LossFunction_Answers.ipynb @@ -4,7 +4,7 @@ "metadata": { "colab": { "provenance": [], - "authorship_tag": "ABX9TyM2yB29boJt3bLHqTG5AUqR", + "authorship_tag": "ABX9TyOKkeAghKXCP9dP9iv7SwLO", "include_colab_link": true }, "kernelspec": { @@ -42,11 +42,7 @@ "\n", "The purpose of this Python notebook is to compute the loss and subsequently plot the loss function for the 1D linear regression model with a least squares loss.\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", - "\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", + "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", "Contact me at iclimbtreesmail@gmail.com if you find any mistakes or have any suggestions." ],