Update README.md (DataTalksClub#498)

* Update README.md add notes * Update 01-churn-project.md add notes * Update 02-data-preparation.md add notes * Update 03-validation.md add notes * Update 04-eda.md add notes * Update 05-risk.md add notes * Update 06-mutual-info.md add notes * Update 07-correlation.md add notes * Update 08-ohe.md add notes * Update 09-logistic-regression.md add notes * Update 10-training-log-reg.md add notes * Update 11-log-reg-interpretation.md add notes * Update 12-using-log-reg.md add notes * Update README.md add notes * Update 01-overview.md add notes * Update 02-accuracy.md add notes * Update 03-confusion-table.md add notes * Update 04-precision-recall.md add notes * Update 05-roc.md add notes * Update 06-auc.md add notes * Update 07-cross-validation.md add notes * Update README.md add notes * Update 01-intro.md add notes * Update 02-pickle.md add notes * Update 03-flask-intro.md add notes * Update 04-flask-deployment.md add notes * Update 05-pipenv.md add notes * Update 06-docker.md add notes * Update 07-aws-eb.md add notes * Update README.md add notes * Update 01-credit-risk.md add notes * Update 02-data-prep.md add notes * Update 03-decision-trees.md add notes * Update 04-decision-tree-learning.md add notes * Update 05-decision-tree-tuning.md add notes * Update 06-random-forest.md add notes * Update 07-boosting.md add notes * Update 08-xgb-tuning.md add notes * Update 09-final-model.md add notes * Update README.md add notes * Update 01-fashion-classification.md add notes * Update 02-tensorflow-keras.md add notes * Update 03-pretrained-models.md add notes * Update 04-conv-neural-nets.md add notes * Update 05-transfer-learning.md add notes * Update 06-learning-rate.md add notes * Update 07-checkpointing.md add notes * Update 08-more-layers.md add notes * Update 09-dropout.md add notes * Update 10-augmentation.md add notes * Update 11-large-model.md add notes * Update 12-using-model.md add notes * Update README.md add notes * Update 01-intro.md add notes * Update 03-tensorflow-lite.md add notes * Update 04-preparing-code.md add notes * Update 05-docker-image.md add notes * Update 06-creating-lambda.md add notes * Update 07-api-gateway.md add notes
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diff --git a/03-classification/01-churn-project.md b/03-classification/01-churn-project.md
@@ -33,9 +33,10 @@ For this project, we used a [Kaggle dataset](https://www.kaggle.com/blastchar/te
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/09/25/ml-zoomcamp-2023-machine-learning-for-classification-part-1/)
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 3: Machine Learning for Classification](./)
-* Next: [Data preparation](02-data-preparation.md)
+* Next: [Data preparation](02-data-preparation.md)
diff --git a/03-classification/02-data-preparation.md b/03-classification/02-data-preparation.md
@@ -38,10 +38,11 @@ The entire code of this project is available in [this jupyter notebook](https://
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/09/26/ml-zoomcamp-2023-machine-learning-for-classification-part-2/)
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 3: Machine Learning for Classification](./)
 * Previous: [Churn prediction project](01-churn-project.md)
-* Next: [Setting up the validation framework](03-validation.md)
+* Next: [Setting up the validation framework](03-validation.md)
diff --git a/03-classification/03-validation.md b/03-classification/03-validation.md
@@ -29,10 +29,11 @@ The entire code of this project is available in [this jupyter notebook](https://
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/09/27/ml-zoomcamp-2023-machine-learning-for-classification-part-3/)
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 3: Machine Learning for Classification](./)
 * Previous: [Data preparation](02-data-preparation.md)
-* Next: [EDA](04-eda.md)
+* Next: [EDA](04-eda.md)
diff --git a/03-classification/04-eda.md b/03-classification/04-eda.md
@@ -32,10 +32,11 @@ The entire code of this project is available in [this jupyter notebook](https://
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/09/27/ml-zoomcamp-2023-machine-learning-for-classification-part-4/)
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 3: Machine Learning for Classification](./)
 * Previous: [Setting up the validation framework](03-validation.md)
-* Next: [Feature importance: Churn rate and risk ratio](05-risk.md)
+* Next: [Feature importance: Churn rate and risk ratio](05-risk.md)
diff --git a/03-classification/05-risk.md b/03-classification/05-risk.md
@@ -30,6 +30,7 @@ The entire code of this project is available in [this jupyter notebook](https://
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/09/28/ml-zoomcamp-2023-machine-learning-for-classification-part-5/)
 
 ## Navigation
 

diff --git a/03-classification/06-mutual-info.md b/03-classification/06-mutual-info.md
@@ -28,10 +28,11 @@ The entire code of this project is available in [this jupyter notebook](https://
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/09/28/ml-zoomcamp-2023-machine-learning-for-classification-part-6/)
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 3: Machine Learning for Classification](./)
 * Previous: [Feature importance: Churn rate and risk ratio](05-risk.md)
-* Next: [Feature importance: Correlation](07-correlation.md)
+* Next: [Feature importance: Correlation](07-correlation.md)
diff --git a/03-classification/07-correlation.md b/03-classification/07-correlation.md
@@ -37,6 +37,7 @@ The entire code of this project is available in [this jupyter notebook](https://
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/09/29/ml-zoomcamp-2023-machine-learning-for-classification-part-7/)
 
 ## Navigation
 

diff --git a/03-classification/08-ohe.md b/03-classification/08-ohe.md
@@ -28,10 +28,11 @@ The entire code of this project is available in [this jupyter notebook](https://
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/09/29/ml-zoomcamp-2023-machine-learning-for-classification-part-8/)
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 3: Machine Learning for Classification](./)
 * Previous: [Feature importance: Correlation](07-correlation.md)
-* Next: [Logistic regression](09-logistic-regression.md)
+* Next: [Logistic regression](09-logistic-regression.md)
diff --git a/03-classification/09-logistic-regression.md b/03-classification/09-logistic-regression.md
@@ -40,10 +40,11 @@ The entire code of this project is available in [this jupyter notebook](https://
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/09/30/ml-zoomcamp-2023-machine-learning-for-classification-part-9/)
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 3: Machine Learning for Classification](./)
 * Previous: [One-hot encoding](08-ohe.md)
-* Next: [Training logistic regression with Scikit-Learn](10-training-log-reg.md)
+* Next: [Training logistic regression with Scikit-Learn](10-training-log-reg.md)
diff --git a/03-classification/10-training-log-reg.md b/03-classification/10-training-log-reg.md
@@ -30,10 +30,11 @@ The entire code of this project is available in [this jupyter notebook](https://
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/09/30/ml-zoomcamp-2023-machine-learning-for-classification-part-10/)
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 3: Machine Learning for Classification](./)
 * Previous: [Logistic regression](09-logistic-regression.md)
-* Next: [Model interpretation](11-log-reg-interpretation.md)
+* Next: [Model interpretation](11-log-reg-interpretation.md)
diff --git a/03-classification/11-log-reg-interpretation.md b/03-classification/11-log-reg-interpretation.md
@@ -28,10 +28,11 @@ The entire code of this project is available in [this jupyter notebook](https://
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/01/ml-zoomcamp-2023-machine-learning-for-classification-part-11/)
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 3: Machine Learning for Classification](./)
 * Previous: [Training logistic regression with Scikit-Learn](10-training-log-reg.md)
-* Next: [Using the model](12-using-log-reg.md)
+* Next: [Using the model](12-using-log-reg.md)
diff --git a/03-classification/12-using-log-reg.md b/03-classification/12-using-log-reg.md
@@ -22,10 +22,11 @@ In this case, the predictions of validation and test were similar, which means t
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/01/ml-zoomcamp-2023-machine-learning-for-classification-part-12/)
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 3: Machine Learning for Classification](./)
 * Previous: [Model interpretation](11-log-reg-interpretation.md)
-* Next: [Summary](13-summary.md)
+* Next: [Summary](13-summary.md)
diff --git a/03-classification/README.md b/03-classification/README.md
@@ -33,4 +33,5 @@ Did you take notes? You can share them here (or in each unit separately)
 * [Notes from Memoona Tahira](https://github.com/MemoonaTahira/MLZoomcamp2022/tree/main/Notes/Week_3-logistic_regression_classification)
 * [Notes from Marcos Benício](https://github.com/marcosbenicio/DataScience/blob/main/02Classification/churn.ipynb)
 * [Notes from Oscar Garcia](https://github.com/ozkary/machine-learning-engineering/tree/main/03-classification)
+* [Notes from Peter Ernicke](https://knowmledge.com/category/courses/ml-zoomcamp/classification/)
 * Add your notes here
diff --git a/04-evaluation/01-overview.md b/04-evaluation/01-overview.md
@@ -25,9 +25,10 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/02/ml-zoomcamp-2023-evaluation-metrics-for-classification-part-1/)
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 4: Evaluation Metrics for Classification](./)
-* Next: [Accuracy and dummy model](02-accuracy.md)
+* Next: [Accuracy and dummy model](02-accuracy.md)
diff --git a/04-evaluation/02-accuracy.md b/04-evaluation/02-accuracy.md
@@ -37,6 +37,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/03/ml-zoomcamp-2023-evaluation-metrics-for-classification-part-2/)
 
 ## Navigation
 

diff --git a/04-evaluation/03-confusion-table.md b/04-evaluation/03-confusion-table.md
@@ -66,6 +66,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/04/ml-zoomcamp-2023-evaluation-metrics-for-classification-part-3/)
 
 ## Navigation
 

diff --git a/04-evaluation/04-precision-recall.md b/04-evaluation/04-precision-recall.md
@@ -41,6 +41,8 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/05/ml-zoomcamp-2023-evaluation-metrics-for-classification-part-4/)
+
 
 ## Navigation
 

diff --git a/04-evaluation/05-roc.md b/04-evaluation/05-roc.md
@@ -50,6 +50,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/06/ml-zoomcamp-2023-evaluation-metrics-for-classification-part-5/)
 
 ## Navigation
 

diff --git a/04-evaluation/06-auc.md b/04-evaluation/06-auc.md
@@ -31,6 +31,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/07/ml-zoomcamp-2023-evaluation-metrics-for-classification-part-6/)
 
 ## Navigation
 

diff --git a/04-evaluation/07-cross-validation.md b/04-evaluation/07-cross-validation.md
@@ -41,6 +41,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/08/ml-zoomcamp-2023-evaluation-metrics-for-classification-part-7/)
 
 ## Navigation
 

diff --git a/04-evaluation/README.md b/04-evaluation/README.md
@@ -21,5 +21,6 @@ Did you take notes? You can share them here (or in each unit separately)
 * [Notes from froukje](https://github.com/froukje/ml-zoomcamp/blob/main/week4/Lecture_4_metrics.ipynb)
 * [Notes from Hareesh Tummala](https://github.com/tummala-hareesh/ml_zoomcamp_ht/blob/main/notes/week-4-notes.md)
 * [Notes from Memoona Tahira](https://github.com/MemoonaTahira/MLZoomcamp2022/tree/main/Notes/Week_4%20-evaluation_metrics_for_ML_model)
+* [Notes from Peter Ernicke](https://knowmledge.com/category/courses/ml-zoomcamp/evaluation-metrics/)
 * Add your notes here
 
diff --git a/05-deployment/01-intro.md b/05-deployment/01-intro.md
@@ -29,6 +29,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/09/ml-zoomcamp-2023-deploying-machine-learning-models-part-1/)
 
 ## Navigation
 

diff --git a/05-deployment/02-pickle.md b/05-deployment/02-pickle.md
@@ -42,6 +42,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/10/ml-zoomcamp-2023-deploying-machine-learning-models-part-2/)
 
 ## Navigation
 

diff --git a/05-deployment/03-flask-intro.md b/05-deployment/03-flask-intro.md
@@ -55,6 +55,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/11/ml-zoomcamp-2023-deploying-machine-learning-models-part-3/)
 
 ## Navigation
 

diff --git a/05-deployment/04-flask-deployment.md b/05-deployment/04-flask-deployment.md
@@ -94,6 +94,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/12/ml-zoomcamp-2023-deploying-machine-learning-models-part-4/)
 
 ## Navigation
 

diff --git a/05-deployment/05-pipenv.md b/05-deployment/05-pipenv.md
@@ -33,6 +33,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/13/ml-zoomcamp-2023-deploying-machine-learning-models-part-5/)
 
 ## Navigation
 

diff --git a/05-deployment/06-docker.md b/05-deployment/06-docker.md
@@ -99,6 +99,7 @@ At last you've deployed your prediction app inside a Docker continer. Congratula
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/14/ml-zoomcamp-2023-deploying-machine-learning-models-part-6/)
 
 ## Navigation
 

diff --git a/05-deployment/07-aws-eb.md b/05-deployment/07-aws-eb.md
@@ -48,6 +48,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/15/ml-zoomcamp-2023-deploying-machine-learning-models-part-7/)
 
 ## Navigation
 

diff --git a/05-deployment/README.md b/05-deployment/README.md
@@ -27,6 +27,7 @@ Did you take notes? You can share them here (or in each unit separately)
 * [Notes about Docker](https://github.com/shayansm2/eng-notebook/tree/main/docker)
 * [Notes about Deployment, Pipenv, Flask, Docker by Oscar Garcia](https://github.com/ozkary/machine-learning-engineering/tree/main/05-deployment)
 * [Notebook with commands for pipenv, flask, gunicorn, and Docker](https://github.com/javier-cp6/ml-zoomcamp/blob/main/05-deployment/05-train-churn-model.ipynb)
+* [Notes from Peter Ernicke](https://knowmledge.com/category/courses/ml-zoomcamp/model-deployment/)
 * Add your notes here
 
 ### Deployment tutorials

diff --git a/06-trees/01-credit-risk.md b/06-trees/01-credit-risk.md
@@ -30,6 +30,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/16/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-1/)
 
 ## Navigation
 

diff --git a/06-trees/02-data-prep.md b/06-trees/02-data-prep.md
@@ -31,6 +31,9 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/17/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-2/)
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/18/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-3/)
+
 
 ## Navigation
 

diff --git a/06-trees/03-decision-trees.md b/06-trees/03-decision-trees.md
@@ -36,10 +36,13 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/19/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-4/)
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/20/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-5/)
+
 
 ## Navigation
 
 * [Machine Learning Zoomcamp course](../)
 * [Session 6: Decision Trees and Ensemble Learning](./)
 * Previous: [Data cleaning and preparation](02-data-prep.md)
-* Next: [Decision tree learning algorithm](04-decision-tree-learning.md)
+* Next: [Decision tree learning algorithm](04-decision-tree-learning.md)
diff --git a/06-trees/04-decision-tree-learning.md b/06-trees/04-decision-tree-learning.md
@@ -30,6 +30,8 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/21/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-6/)
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/22/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-7/)
 
 ## Navigation
 

diff --git a/06-trees/05-decision-tree-tuning.md b/06-trees/05-decision-tree-tuning.md
@@ -24,6 +24,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/23/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-8/)
 
 ## Navigation
 

diff --git a/06-trees/06-random-forest.md b/06-trees/06-random-forest.md
@@ -30,6 +30,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/24/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-9/)
 
 ## Navigation
 

diff --git a/06-trees/07-boosting.md b/06-trees/07-boosting.md
@@ -31,6 +31,9 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/25/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-10/)
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/26/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-11/)
+
 ### Extracting results from `xgb.train(..)`
 In the video we use jupyter magic command `%%capture output` to extract the output of `xgb.train(..)` method. 
 

diff --git a/06-trees/08-xgb-tuning.md b/06-trees/08-xgb-tuning.md
@@ -46,6 +46,8 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/27/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-12/)
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/28/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-13/)
 
 ## Navigation
 

diff --git a/06-trees/09-final-model.md b/06-trees/09-final-model.md
@@ -24,6 +24,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/10/29/ml-zoomcamp-2023-decision-trees-and-ensemble-learning-part-14/)
 
 ## Navigation
 

diff --git a/06-trees/README.md b/06-trees/README.md
@@ -22,4 +22,5 @@ Did you take notes? You can share them here (or in each unit separately)
 * [Alvaro Navas' Notes](https://github.com/ziritrion/ml-zoomcamp/blob/main/notes/06_trees.md)
 * [Notes from froukje](https://github.com/froukje/ml-zoomcamp/blob/main/week6/Lecture_6_Decision_Trees_Ensemble_Learning.ipynb)
 * [Decision Trees and Ensembled Learning by Oscar Garcia](https://github.com/ozkary/machine-learning-engineering/tree/main/06-trees)
+* [Notes from Peter Ernicke](https://knowmledge.com/category/courses/ml-zoomcamp/decision-trees/)
 * Add your notes here
diff --git a/08-deep-learning/01-fashion-classification.md b/08-deep-learning/01-fashion-classification.md
@@ -44,6 +44,7 @@ Add notes from the video (PRs are welcome)
    </tr>
 </table>
 
+* [Notes from Peter Ernicke](https://knowmledge.com/2023/11/18/ml-zoomcamp-2023-deep-learning-part-1/)
 
 ## Navigation
-Original file line number
+Diff line change
@@ Expand Up @@
        </tr>
     </table>
+    * [Notes from Peter Ernicke](https://knowmledge.com/2023/09/28/ml-zoomcamp-2023-machine-learning-for-classification-part-5/)
     ## Navigation
@@ Expand Down @@