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The aim of this fork is to improve original starter project code for students takingIntro to Machine Learning on Udacity withpython 3.8, conda managing and jupyter notebooks.

• Lesson 2: Naive Bayes
• Lesson 3: SVM
• Lesson 4: Decision Trees
• Lesson 5: Choose Your own Algorithm
• Lesson 6: Datasets and Questions
• Lesson 7: Regressions
• Lesson 8: Outliers
• Lesson 9: Clustering
• Lesson 10: Feature Scaling
• Lesson 11: Text Learning
• Lesson 12: Feature Selection
• Lesson 13: PCA
• Lesson 14: Validation
• Lesson 15: Evaluation Metrics
• Lesson 17: Final Project

In this repo newer version ofscikit-learn is used. Thus, to get the results expected by the course graderyou need to useSVC withgamma='auto', since the default value of gamma changed, seesklearn.svm.SVCdocs:

Changed in version 0.22: The default value of gamma changed from 'auto' to 'scale'.

For example:

clf=SVC(kernel='linear',gamma='auto')

To get the correct (acceptable by grader) results setsort_keys='../utils/python2_lesson06_keys.pkl' forfeature_format function:

...data=feature_format(dictionary,features_list,remove_any_zeroes=True,sort_keys='../utils/python2_lesson06_keys.pkl')...

[...] This will open up a file in the tools folder with the Python 2 key order.

Seethis for detailed explanation.

$ git clone https://github.com/trsvchn/ud120-projects-py3-jupyter.git$cd ud120-projects-v2

link

$ conda env create -f environment.yml

$ conda activate ud120

$ python ./utils/starter.py