diff --git a/01_machine_learning_intro.ipynb b/01_machine_learning_intro.ipynb index c6ee7a1..c927c7f 100644 --- a/01_machine_learning_intro.ipynb +++ b/01_machine_learning_intro.ipynb @@ -127,7 +127,7 @@ "## Resources\n", "\n", "- Book: [An Introduction to Statistical Learning](https://www.statlearning.com/) (section 2.1, 14 pages)\n", - "- Video: [Learning Paradigms](http://work.caltech.edu/library/014.html) (13 minutes)" + "- Video: [Learning Paradigms](https://www.youtube.com/watch?v=mbyG85GZ0PI&t=2162s) (13 minutes, starting at 36:02)" ] }, { @@ -138,7 +138,9 @@ "\n", "- Email: \n", "- Website: https://www.dataschool.io\n", - "- Twitter: [@justmarkham](https://twitter.com/justmarkham)" + "- Twitter: [@justmarkham](https://twitter.com/justmarkham)\n", + "\n", + "© 2021 [Data School](https://www.dataschool.io). All rights reserved." ] } ], @@ -158,7 +160,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.9.4" } }, "nbformat": 4, diff --git a/02_machine_learning_setup.ipynb b/02_machine_learning_setup.ipynb index 291804c..11144f8 100644 --- a/02_machine_learning_setup.ipynb +++ b/02_machine_learning_setup.ipynb @@ -150,7 +150,9 @@ "\n", "- Email: \n", "- Website: https://www.dataschool.io\n", - "- Twitter: [@justmarkham](https://twitter.com/justmarkham)" + "- Twitter: [@justmarkham](https://twitter.com/justmarkham)\n", + "\n", + "© 2021 [Data School](https://www.dataschool.io). All rights reserved." ] } ], @@ -170,7 +172,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.9.4" } }, "nbformat": 4, diff --git a/03_getting_started_with_iris.ipynb b/03_getting_started_with_iris.ipynb index d6ec178..57de0a8 100644 --- a/03_getting_started_with_iris.ipynb +++ b/03_getting_started_with_iris.ipynb @@ -484,7 +484,9 @@ "\n", "- Email: \n", "- Website: https://www.dataschool.io\n", - "- Twitter: [@justmarkham](https://twitter.com/justmarkham)" + "- Twitter: [@justmarkham](https://twitter.com/justmarkham)\n", + "\n", + "© 2021 [Data School](https://www.dataschool.io). All rights reserved." ] } ], @@ -504,7 +506,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.9.4" } }, "nbformat": 4, diff --git a/04_model_training.ipynb b/04_model_training.ipynb index a677be2..d9fbf8b 100644 --- a/04_model_training.ipynb +++ b/04_model_training.ipynb @@ -427,7 +427,9 @@ "\n", "- Email: \n", "- Website: https://www.dataschool.io\n", - "- Twitter: [@justmarkham](https://twitter.com/justmarkham)" + "- Twitter: [@justmarkham](https://twitter.com/justmarkham)\n", + "\n", + "© 2021 [Data School](https://www.dataschool.io). All rights reserved." ] } ], @@ -447,7 +449,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.9.4" } }, "nbformat": 4, diff --git a/05_model_evaluation.ipynb b/05_model_evaluation.ipynb index 7cc4a6e..a36a1b3 100644 --- a/05_model_evaluation.ipynb +++ b/05_model_evaluation.ipynb @@ -598,10 +598,10 @@ "## Resources\n", "\n", "- Quora: [What is an intuitive explanation of overfitting?](https://www.quora.com/What-is-an-intuitive-explanation-of-over-fitting-particularly-with-a-small-sample-set-What-are-you-essentially-doing-by-over-fitting-How-does-the-over-promise-of-a-high-R%C2%B2-low-standard-error-occur/answer/Jessica-Su)\n", - "- Video: [Estimating prediction error](https://www.youtube.com/watch?v=_2ij6eaaSl0&list=PL5-da3qGB5IA6E6ZNXu7dp89_uv8yocmf&index=1&t=2m34s) (12 minutes, starting at 2:34) by Hastie and Tibshirani\n", + "- Video: [Estimating prediction error](https://www.youtube.com/watch?v=ngrOYWgJjb4&list=PL5-da3qGB5IA6E6ZNXu7dp89_uv8yocmf&index=3&t=154s) (12 minutes, starting at 2:34) by Hastie and Tibshirani\n", "- [Understanding the Bias-Variance Tradeoff](http://scott.fortmann-roe.com/docs/BiasVariance.html)\n", " - [Guiding questions](https://github.com/justmarkham/DAT8/blob/master/homework/09_bias_variance.md) when reading this article\n", - "- Video: [Visualizing bias and variance](http://work.caltech.edu/library/081.html) (15 minutes) by Abu-Mostafa" + "- Video: [Visualizing bias and variance](https://www.youtube.com/watch?v=zrEyxfl2-a8&t=1857s) (15 minutes, starting at 30:57) by Abu-Mostafa" ] }, { @@ -612,7 +612,9 @@ "\n", "- Email: \n", "- Website: https://www.dataschool.io\n", - "- Twitter: [@justmarkham](https://twitter.com/justmarkham)" + "- Twitter: [@justmarkham](https://twitter.com/justmarkham)\n", + "\n", + "© 2021 [Data School](https://www.dataschool.io). All rights reserved." ] } ], @@ -632,7 +634,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.9.4" } }, "nbformat": 4, diff --git a/06_linear_regression.ipynb b/06_linear_regression.ipynb index 5f8d3af..b72a675 100644 --- a/06_linear_regression.ipynb +++ b/06_linear_regression.ipynb @@ -997,7 +997,9 @@ "\n", "- Email: \n", "- Website: https://www.dataschool.io\n", - "- Twitter: [@justmarkham](https://twitter.com/justmarkham)" + "- Twitter: [@justmarkham](https://twitter.com/justmarkham)\n", + "\n", + "© 2021 [Data School](https://www.dataschool.io). All rights reserved." ] } ], @@ -1017,7 +1019,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.9.4" } }, "nbformat": 4, diff --git a/07_cross_validation.ipynb b/07_cross_validation.ipynb index b0f8e28..c48087b 100644 --- a/07_cross_validation.ipynb +++ b/07_cross_validation.ipynb @@ -604,7 +604,7 @@ "\n", "- scikit-learn documentation: [Cross-validation](https://scikit-learn.org/stable/modules/cross_validation.html), [Model evaluation](https://scikit-learn.org/stable/modules/model_evaluation.html)\n", "- scikit-learn issue on GitHub: [MSE is negative when returned by cross_val_score](https://github.com/scikit-learn/scikit-learn/issues/2439)\n", - "- Section 5.1 of [An Introduction to Statistical Learning](https://www.statlearning.com/) (11 pages) and related videos: [K-fold and leave-one-out cross-validation](https://www.youtube.com/watch?v=nZAM5OXrktY&list=PL5-da3qGB5IA6E6ZNXu7dp89_uv8yocmf) (14 minutes), [Cross-validation the right and wrong ways](https://www.youtube.com/watch?v=S06JpVoNaA0&list=PL5-da3qGB5IA6E6ZNXu7dp89_uv8yocmf) (10 minutes)\n", + "- Section 5.1 of [An Introduction to Statistical Learning](https://www.statlearning.com/) (11 pages) and related videos: [K-fold and leave-one-out cross-validation](https://www.youtube.com/watch?v=rSGzUy13F_0&list=PL5-da3qGB5IA6E6ZNXu7dp89_uv8yocmf&index=2) (14 minutes), [Cross-validation the right and wrong ways](https://www.youtube.com/watch?v=r64tRyHFAJ8&list=PL5-da3qGB5IA6E6ZNXu7dp89_uv8yocmf&index=3) (10 minutes)\n", "- Scott Fortmann-Roe: [Accurately Measuring Model Prediction Error](http://scott.fortmann-roe.com/docs/MeasuringError.html)\n", "- Machine Learning Mastery: [An Introduction to Feature Selection](https://machinelearningmastery.com/an-introduction-to-feature-selection/)\n", "- Harvard CS109: [Cross-Validation: The Right and Wrong Way](https://github.com/cs109/content/blob/master/lec_10_cross_val.ipynb)\n", @@ -619,7 +619,9 @@ "\n", "- Email: \n", "- Website: https://www.dataschool.io\n", - "- Twitter: [@justmarkham](https://twitter.com/justmarkham)" + "- Twitter: [@justmarkham](https://twitter.com/justmarkham)\n", + "\n", + "© 2021 [Data School](https://www.dataschool.io). All rights reserved." ] } ], @@ -639,7 +641,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.9.4" } }, "nbformat": 4, diff --git a/08_grid_search.ipynb b/08_grid_search.ipynb index 68cd609..54b1b16 100644 --- a/08_grid_search.ipynb +++ b/08_grid_search.ipynb @@ -1569,7 +1569,9 @@ "\n", "- Email: \n", "- Website: https://www.dataschool.io\n", - "- Twitter: [@justmarkham](https://twitter.com/justmarkham)" + "- Twitter: [@justmarkham](https://twitter.com/justmarkham)\n", + "\n", + "© 2021 [Data School](https://www.dataschool.io). All rights reserved." ] } ], @@ -1589,7 +1591,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.9.4" } }, "nbformat": 4, diff --git a/09_classification_metrics.ipynb b/09_classification_metrics.ipynb index ae53318..b3f6774 100644 --- a/09_classification_metrics.ipynb +++ b/09_classification_metrics.ipynb @@ -1233,7 +1233,9 @@ "\n", "- Email: \n", "- Website: https://www.dataschool.io\n", - "- Twitter: [@justmarkham](https://twitter.com/justmarkham)" + "- Twitter: [@justmarkham](https://twitter.com/justmarkham)\n", + "\n", + "© 2021 [Data School](https://www.dataschool.io). All rights reserved." ] } ], @@ -1253,7 +1255,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.9.4" } }, "nbformat": 4, diff --git a/10_categorical_features.ipynb b/10_categorical_features.ipynb index 76b599a..dc5c7d6 100644 --- a/10_categorical_features.ipynb +++ b/10_categorical_features.ipynb @@ -1050,7 +1050,9 @@ "\n", "- Email: \n", "- Website: https://www.dataschool.io\n", - "- Twitter: [@justmarkham](https://twitter.com/justmarkham)" + "- Twitter: [@justmarkham](https://twitter.com/justmarkham)\n", + "\n", + "© 2021 [Data School](https://www.dataschool.io). All rights reserved." ] } ], @@ -1070,7 +1072,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.1" + "version": "3.9.4" } }, "nbformat": 4,