STAT303-3-class-notes

These are the class notes for STAT303-3 (Non-linear statistical models with Python)

Name		Name	Last commit message	Last commit date
Latest commit History 243 Commits
.github/workflows		.github/workflows
.ipynb_checkpoints		.ipynb_checkpoints
Datasets		Datasets
Variable_expressions_statements-R_files/execute-results		Variable_expressions_statements-R_files/execute-results
_book		_book
catboost_info		catboost_info
renv		renv
test_file_files/libs		test_file_files/libs
.Rprofile		.Rprofile
.gitignore		.gitignore
App_GridSearchCV_vs_RandomSearchCV.ipynb		App_GridSearchCV_vs_RandomSearchCV.ipynb
Assignment 1 solutions.html		Assignment 1 solutions.html
Assignment 1.ipynb		Assignment 1.ipynb
Assignment 2 questions.ipynb		Assignment 2 questions.ipynb
Assignment 3.ipynb		Assignment 3.ipynb
Assignment A.ipynb		Assignment A.ipynb
Assignment B.ipynb		Assignment B.ipynb
Assignment C old.ipynb		Assignment C old.ipynb
Assignment C.ipynb		Assignment C.ipynb
Assignment D-Copy1.ipynb		Assignment D-Copy1.ipynb
Assignment D.ipynb		Assignment D.ipynb
Assignment E.ipynb		Assignment E.ipynb
Assignment1.ipynb		Assignment1.ipynb
Assignment5_questions.ipynb		Assignment5_questions.ipynb
Bagging (OOB vs K-fold cross-validation).ipynb		Bagging (OOB vs K-fold cross-validation).ipynb
Bias_variance_code.ipynb		Bias_variance_code.ipynb
Datasets.ipynb		Datasets.ipynb
Github.ipynb		Github.ipynb
HomeworkAssignment4.ipynb		HomeworkAssignment4.ipynb
Hyperparameter tuning.ipynb		Hyperparameter tuning.ipynb
KNN.ipynb		KNN.ipynb
L1_Scikit-learn.ipynb		L1_Scikit-learn.ipynb
LICENSE.txt		LICENSE.txt
Lec10_Ensemble-Copy1.ipynb		Lec10_Ensemble-Copy1.ipynb
Lec10_Ensemble.ipynb		Lec10_Ensemble.ipynb
Lec11_More boosting models.ipynb		Lec11_More boosting models.ipynb
Lec2_Regression_splines.ipynb		Lec2_Regression_splines.ipynb
Lec3_RegressionTrees.ipynb		Lec3_RegressionTrees.ipynb
Lec4_Bagging.ipynb		Lec4_Bagging.ipynb
Lec4_ClassificationTree.ipynb		Lec4_ClassificationTree.ipynb
Lec5_Bagging.ipynb		Lec5_Bagging.ipynb
Lec6_RandomForest.ipynb		Lec6_RandomForest.ipynb
Lec7_AdaBoost.ipynb		Lec7_AdaBoost.ipynb
Lec8_Gradient_Boosting.ipynb		Lec8_Gradient_Boosting.ipynb
Lec9_XGBoost.ipynb		Lec9_XGBoost.ipynb
Miscellaneous questions.ipynb		Miscellaneous questions.ipynb
NU_Stat_logo.png		NU_Stat_logo.png
Parallel_processing_Bonus_Questions.ipynb		Parallel_processing_Bonus_Questions.ipynb
Pipeline-Copy1.ipynb		Pipeline-Copy1.ipynb
Pipeline.ipynb		Pipeline.ipynb
Practice_Final_Answer_Key.ipynb		Practice_Final_Answer_Key.ipynb
README.md		README.md
Stratified splitting.ipynb		Stratified splitting.ipynb
Tuning a hyperparameter-Copy1.ipynb		Tuning a hyperparameter-Copy1.ipynb
Tuning a hyperparameter.ipynb		Tuning a hyperparameter.ipynb
Untitled.ipynb		Untitled.ipynb
_publish.yml		_publish.yml
_quarto - Copy (2).yml		_quarto - Copy (2).yml
_quarto - Copy.yml		_quarto - Copy.yml
_quarto.yml		_quarto.yml
ass6_sol2.R		ass6_sol2.R
car_price_tree.png		car_price_tree.png
cat_tune.png		cat_tune.png
cover.png		cover.png
heart_disease_classification.csv		heart_disease_classification.csv
inclassApr24.ipynb		inclassApr24.ipynb
index.qmd		index.qmd
intro.qmd		intro.qmd
movie_data.json		movie_data.json
movie_ratings.csv		movie_ratings.csv
movies_sample_data.csv		movies_sample_data.csv
out.csv		out.csv
party_edited.csv		party_edited.csv
practice_lec1-Copy1.ipynb		practice_lec1-Copy1.ipynb
practice_lec1.ipynb		practice_lec1.ipynb
questions_test - Copy.json		questions_test - Copy.json
recursion.qmd		recursion.qmd
references.bib		references.bib
references.qmd		references.qmd
renv.lock		renv.lock
requirements.txt		requirements.txt
reserved_words.jpg		reserved_words.jpg
robjects.qmd		robjects.qmd
spotify_data.csv		spotify_data.csv
spotify_text.txt		spotify_text.txt
summary.qmd		summary.qmd
test_file.html		test_file.html
test_file.ipynb		test_file.ipynb
test_file.pdf		test_file.pdf
text.txt		text.txt

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