From 26fc0280f575a547bd3eced45ee2695ad6dacbd1 Mon Sep 17 00:00:00 2001 From: franzi Date: Fri, 15 Oct 2021 00:12:51 +0200 Subject: [PATCH] rename --- README.md | 16 ++++++++-------- {exercises => notebooks}/1_visualize_text.ipynb | 0 .../2_image_quantization.ipynb | 0 .../3_supervised_comparison.ipynb | 0 .../4_information_retrieval.ipynb | 0 {exercises => notebooks}/5_mnist_keras.ipynb | 0 {exercises => notebooks}/5_mnist_torch.ipynb | 0 {exercises => notebooks}/6_analyze_toydata.ipynb | 0 .../7_hard_drive_failures.ipynb | 0 {exercises => notebooks}/8_rl_gridmove.ipynb | 0 {exercises => notebooks}/causal_model.ipynb | 0 11 files changed, 8 insertions(+), 8 deletions(-) rename {exercises => notebooks}/1_visualize_text.ipynb (100%) rename {exercises => notebooks}/2_image_quantization.ipynb (100%) rename {exercises => notebooks}/3_supervised_comparison.ipynb (100%) rename {exercises => notebooks}/4_information_retrieval.ipynb (100%) rename {exercises => notebooks}/5_mnist_keras.ipynb (100%) rename {exercises => notebooks}/5_mnist_torch.ipynb (100%) rename {exercises => notebooks}/6_analyze_toydata.ipynb (100%) rename {exercises => notebooks}/7_hard_drive_failures.ipynb (100%) rename {exercises => notebooks}/8_rl_gridmove.ipynb (100%) rename {exercises => notebooks}/causal_model.ipynb (100%) diff --git a/README.md b/README.md index 073cff3..f2c9276 100644 --- a/README.md +++ b/README.md @@ -55,8 +55,8 @@ You can also find the course syllabus on the last page of the [course descriptio ##### Block 2.1: - [ ] Read the whole chapter: ["Unsupervised Learning"](https://franziskahorn.de/mlbook/_unsupervised_learning.html) -- [ ] Work through [Notebook 1: visualize text](/exercises/1_visualize_text.ipynb) (after the section on dimensionality reduction) -- [ ] Work through [Notebook 2: image quantization](/exercises/2_image_quantization.ipynb) (after the section on clustering) +- [ ] Work through [Notebook 1: visualize text](/notebooks/1_visualize_text.ipynb) (after the section on dimensionality reduction) +- [ ] Work through [Notebook 2: image quantization](/notebooks/2_image_quantization.ipynb) (after the section on clustering) ##### Block 2.2: - [ ] Read the first sections of the chapter ["Supervised Learning"](https://franziskahorn.de/mlbook/_supervised_learning.html) up to and including ["Model Evaluation"](https://franziskahorn.de/mlbook/_model_evaluation.html) @@ -68,15 +68,15 @@ You can also find the course syllabus on the last page of the [course descriptio ##### Block 3.1: - [ ] Read the remaining sections from the supervised learning chapter, i.e., ["Linear Models"](https://franziskahorn.de/mlbook/_linear_models.html) up to and including ["Kernel Methods"](https://franziskahorn.de/mlbook/_kernel_methods.html) -- [ ] **In parallel**, work through the respective sections of [Notebook 3: supervised comparison](/exercises/3_supervised_comparison.ipynb) +- [ ] **In parallel**, work through the respective sections of [Notebook 3: supervised comparison](/notebooks/3_supervised_comparison.ipynb) ##### Block 3.2: - [ ] Start with the chapter ["Deep Learning & more"](https://franziskahorn.de/mlbook/_deep_learning_more.html) up to and including the section: ["Information Retrieval (Similarity Search)"](https://franziskahorn.de/mlbook/_information_retrieval_similarity_search.html) and refresh your memory on the sections on [TF-IDF feature vectors](https://franziskahorn.de/mlbook/_feature_extraction.html) and [cosine similarity](https://franziskahorn.de/mlbook/_computing_similarities.html) -- [ ] Work through [Notebook 4: information retrieval](/exercises/4_information_retrieval.ipynb) +- [ ] Work through [Notebook 4: information retrieval](/notebooks/4_information_retrieval.ipynb) ##### Block 3.3: - [ ] Read the section: ["Deep Learning (Neural Networks)"](https://franziskahorn.de/mlbook/_deep_learning_neural_networks.html) -- [ ] Work through [Notebook 5: MNIST with torch](/exercises/5_mnist_torch.ipynb) (recommended) **_or_** [MNIST with keras](/exercises/5_mnist_keras.ipynb) (in case others in your organization are already working with TensorFlow) +- [ ] Work through [Notebook 5: MNIST with torch](/notebooks/5_mnist_torch.ipynb) (recommended) **_or_** [MNIST with keras](/notebooks/5_mnist_keras.ipynb) (in case others in your organization are already working with TensorFlow) ##### Block 3.4: - [ ] Read the sections: ["Time Series Forecasting"](https://franziskahorn.de/mlbook/_time_series_forecasting.html) and ["Recommender Systems (Pairwise Data)"](https://franziskahorn.de/mlbook/_recommender_systems_pairwise_data.html) @@ -89,11 +89,11 @@ You can also find the course syllabus on the last page of the [course descriptio - [ ] Read the whole chapter: ["Avoiding Common Pitfalls"](https://franziskahorn.de/mlbook/_avoiding_common_pitfalls.html) ##### Block 4.2: -- [ ] Work through [Notebook 6: analyze toy dataset](/exercises/6_analyze_toydata.ipynb) +- [ ] Work through [Notebook 6: analyze toy dataset](/notebooks/6_analyze_toydata.ipynb) - [ ] Have a look at the [cheat sheet](/cheatsheet.pdf), which includes a summary of the most important steps when developing a machine learning solution, incl. code snippets ##### Block 4.3: -- [ ] _Case Study!_ Work through [Notebook 7: predicting hard drive failures](/exercises/7_hard_drive_failures.ipynb) (plan at least 5 hours for this!) +- [ ] _Case Study!_ Work through [Notebook 7: predicting hard drive failures](/notebooks/7_hard_drive_failures.ipynb) (plan at least 5 hours for this!) --- @@ -101,7 +101,7 @@ You can also find the course syllabus on the last page of the [course descriptio ##### Block 5.1: - [ ] Read the whole chapter: ["Reinforcement Learning"](https://franziskahorn.de/mlbook/_reinforcement_learning.html) -- [ ] Work through [Notebook 8: RL gridmove](/exercises/8_rl_gridmove.ipynb) +- [ ] Work through [Notebook 8: RL gridmove](/notebooks/8_rl_gridmove.ipynb) ##### Block 5.2: - [ ] Answer [Quiz 5](https://forms.gle/uZGj54YQHKwckmL46) diff --git a/exercises/1_visualize_text.ipynb b/notebooks/1_visualize_text.ipynb similarity index 100% rename from exercises/1_visualize_text.ipynb rename to notebooks/1_visualize_text.ipynb diff --git a/exercises/2_image_quantization.ipynb b/notebooks/2_image_quantization.ipynb similarity index 100% rename from exercises/2_image_quantization.ipynb rename to notebooks/2_image_quantization.ipynb diff --git a/exercises/3_supervised_comparison.ipynb b/notebooks/3_supervised_comparison.ipynb similarity index 100% rename from exercises/3_supervised_comparison.ipynb rename to notebooks/3_supervised_comparison.ipynb diff --git a/exercises/4_information_retrieval.ipynb b/notebooks/4_information_retrieval.ipynb similarity index 100% rename from exercises/4_information_retrieval.ipynb rename to notebooks/4_information_retrieval.ipynb diff --git a/exercises/5_mnist_keras.ipynb b/notebooks/5_mnist_keras.ipynb similarity index 100% rename from exercises/5_mnist_keras.ipynb rename to notebooks/5_mnist_keras.ipynb diff --git a/exercises/5_mnist_torch.ipynb b/notebooks/5_mnist_torch.ipynb similarity index 100% rename from exercises/5_mnist_torch.ipynb rename to notebooks/5_mnist_torch.ipynb diff --git a/exercises/6_analyze_toydata.ipynb b/notebooks/6_analyze_toydata.ipynb similarity index 100% rename from exercises/6_analyze_toydata.ipynb rename to notebooks/6_analyze_toydata.ipynb diff --git a/exercises/7_hard_drive_failures.ipynb b/notebooks/7_hard_drive_failures.ipynb similarity index 100% rename from exercises/7_hard_drive_failures.ipynb rename to notebooks/7_hard_drive_failures.ipynb diff --git a/exercises/8_rl_gridmove.ipynb b/notebooks/8_rl_gridmove.ipynb similarity index 100% rename from exercises/8_rl_gridmove.ipynb rename to notebooks/8_rl_gridmove.ipynb diff --git a/exercises/causal_model.ipynb b/notebooks/causal_model.ipynb similarity index 100% rename from exercises/causal_model.ipynb rename to notebooks/causal_model.ipynb