zero-to-mastery-ml
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mrdbourke
All course materials for the Zero to Mastery Machine Learning and Data Science course.
I have resolved an error in the provided sklearn lesson file. Below is my updated code along with the corrected data splitting after preprocessing: # Corrected data splitting after preprocessing...
Link to notebook changed: https://github.com/mrdbourke/zero-to-mastery-ml/blob/master/section-3-structured-data-projects/end-to-end-heart-disease-classification.ipynb ## Error As of Scikit-Learn 1.2+ the method `sklearn.metrics.plot_roc_curve` is deprecated in favour of [`sklearn.metrics.RocCurveDisplay`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html#sklearn-metrics-roccurvedisplay). ## How to check your Scikit-Learn version You can check...
I tried CatBoost With tunned hyperparameters it gives me the score of 0.96!! Can we use it in our model?? 
I'm not able to join the ZTM Discord community channel
 As you write True in X label and Predicted in Y label it should be opposite.
This PR fixes a typo in the [introduction-to-scikit-learn.ipynb](https://github.com/mrdbourke/zero-to-mastery-ml/blob/master/section-2-data-science-and-ml-tools/introduction-to-scikit-learn.ipynb) where in the section **1.2.2 Filling missing data and transforming categorical data with Scikit-Learn** in the **Note**, variables is misspelled as vairables...
