Add readme and update notebooks list

README.md

+# Mooc Scikit-Learn Model
+
+This repository is used to initialized learners environment by downloading notebooks and datasets from https://github.com/INRIA/scikit-learn-mooc. This is used to et a reset url and to filter out solution notebooks.
+
+To manually update (using javascript console):
+
+```js
+const baseUrl = "https://github.com/INRIA/scikit-learn-mooc/raw/master/"
+let datasets, notebooks;
+
+fetch('https://api.github.com/repos/INRIA/scikit-learn-mooc/contents/datasets')
+.then(function(response) {
+    return response.json()
+}).then(function(data) {
+    datasets = data.map(item => item.path)
+    return fetch('https://api.github.com/repos/INRIA/scikit-learn-mooc/contents/notebooks')
+}).then(function(response) {
+    return response.json()
+}).then(function(data) {
+    // Filter out solutions
+    notebooks = data.map(item => item.path).filter(item => item.indexOf('sol') === -1)
+    console.log(JSON.stringify({baseUrl, notebooks, datasets}, null, 2))
+});
+```

notebooks.json

 {
-    "baseUrl": "https://github.com/INRIA/scikit-learn-mooc/raw/master/",
-    "notebooks": [
-      "notebooks/01_tabular_data_exploration.ipynb",
-      "notebooks/02_numerical_pipeline.ipynb",
-      "notebooks/02_numerical_pipeline_ex_01.ipynb",
-      "notebooks/02_numerical_pipeline_scaling.ipynb",
-      "notebooks/03_categorical_pipeline.ipynb",
-      "notebooks/03_categorical_pipeline_column_transformer.ipynb",
-      "notebooks/03_categorical_pipeline_ex_01.ipynb",
-      "notebooks/03_categorical_pipeline_ex_02.ipynb",
-      "notebooks/04_parameter_tuning.ipynb",
-      "notebooks/04_parameter_tuning_ex_01.ipynb",
-      "notebooks/04_parameter_tuning_ex_02.ipynb",
-      "notebooks/04_parameter_tuning_search.ipynb",
-      "notebooks/cross_validation.ipynb",
-      "notebooks/dev_features_importance.ipynb",
-      "notebooks/ensemble.ipynb",
-      "notebooks/feature_selection.ipynb",
-      "notebooks/linear_models.ipynb",
-      "notebooks/metrics.ipynb",
-      "notebooks/trees.ipynb"
-    ],
-    "datasets": [
-        "datasets/adult-census-numeric-all.csv",
-        "datasets/adult-census-numeric-test.csv",
-        "datasets/adult-census-numeric.csv",
-        "datasets/adult-census.csv",
-        "datasets/blood_transfusion.csv",
-        "datasets/cps_85_wages.csv",
-        "datasets/house_prices.csv",
-        "datasets/penguins.csv",
-        "datasets/penguins_classification.csv",
-        "datasets/penguins_regression.csv"
-    ]
-}
\ No newline at end of file
+  "baseUrl": "https://github.com/INRIA/scikit-learn-mooc/raw/master/",
+  "notebooks": [
+    "notebooks/01_tabular_data_exploration.ipynb",
+    "notebooks/02_numerical_pipeline_ex_01.ipynb",
+    "notebooks/02_numerical_pipeline_hands_on.ipynb",
+    "notebooks/02_numerical_pipeline_introduction.ipynb",
+    "notebooks/02_numerical_pipeline_scaling.ipynb",
+    "notebooks/03_categorical_pipeline.ipynb",
+    "notebooks/03_categorical_pipeline_column_transformer.ipynb",
+    "notebooks/03_categorical_pipeline_ex_01.ipynb",
+    "notebooks/03_categorical_pipeline_ex_02.ipynb",
+    "notebooks/04_parameter_tuning.ipynb",
+    "notebooks/04_parameter_tuning_ex_01.ipynb",
+    "notebooks/04_parameter_tuning_ex_02.ipynb",
+    "notebooks/04_parameter_tuning_search.ipynb",
+    "notebooks/cross_validation_baseline.ipynb",
+    "notebooks/cross_validation_ex_01.ipynb",
+    "notebooks/cross_validation_ex_02.ipynb",
+    "notebooks/cross_validation_ex_03.ipynb",
+    "notebooks/cross_validation_ex_04.ipynb",
+    "notebooks/cross_validation_ex_05.ipynb",
+    "notebooks/cross_validation_grouping.ipynb",
+    "notebooks/cross_validation_nested.ipynb",
+    "notebooks/cross_validation_stratification.ipynb",
+    "notebooks/cross_validation_time.ipynb",
+    "notebooks/cross_validation_train_test.ipynb",
+    "notebooks/dev_features_importance.ipynb",
+    "notebooks/ensemble_adaboost.ipynb",
+    "notebooks/ensemble_bagging.ipynb",
+    "notebooks/ensemble_ex_01.ipynb",
+    "notebooks/ensemble_ex_02.ipynb",
+    "notebooks/ensemble_ex_03.ipynb",
+    "notebooks/ensemble_ex_04.ipynb",
+    "notebooks/ensemble_ex_05.ipynb",
+    "notebooks/ensemble_gradient_boosting.ipynb",
+    "notebooks/ensemble_hist_gradient_boosting.ipynb",
+    "notebooks/ensemble_hyperparameters.ipynb",
+    "notebooks/ensemble_introduction.ipynb",
+    "notebooks/ensemble_random_forest.ipynb",
+    "notebooks/feature_selection_ex_01.ipynb",
+    "notebooks/feature_selection_introduction.ipynb",
+    "notebooks/feature_selection_limitation_model.ipynb",
+    "notebooks/linear_models_ex_01.ipynb",
+    "notebooks/linear_models_ex_02.ipynb",
+    "notebooks/linear_models_ex_03.ipynb",
+    "notebooks/linear_models_ex_04.ipynb",
+    "notebooks/linear_models_ex_05.ipynb",
+    "notebooks/linear_models_regularization.ipynb",
+    "notebooks/linear_regression_in_sklearn.ipynb",
+    "notebooks/linear_regression_non_linear_link.ipynb",
+    "notebooks/linear_regression_without_sklearn.ipynb",
+    "notebooks/logistic_regression.ipynb",
+    "notebooks/logistic_regression_non_linear.ipynb",
+    "notebooks/metrics_classification.ipynb",
+    "notebooks/metrics_ex_01.ipynb",
+    "notebooks/metrics_ex_02.ipynb",
+    "notebooks/metrics_regression.ipynb",
+    "notebooks/trees_classification.ipynb",
+    "notebooks/trees_dataset.ipynb",
+    "notebooks/trees_ex_01.ipynb",
+    "notebooks/trees_ex_02.ipynb",
+    "notebooks/trees_hyperparameters.ipynb",
+    "notebooks/trees_regression.ipynb"
+  ],
+  "datasets": [
+    "datasets/README.md",
+    "datasets/adult-census-numeric-all.csv",
+    "datasets/adult-census-numeric-test.csv",
+    "datasets/adult-census-numeric.csv",
+    "datasets/adult-census.csv",
+    "datasets/blood_transfusion.csv",
+    "datasets/cps_85_wages.csv",
+    "datasets/house_prices.csv",
+    "datasets/penguins.csv",
+    "datasets/penguins_classification.csv",
+    "datasets/penguins_regression.csv"
+  ]
+}