Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
datasets
clean
Nov 25, 2021
gallery
gif
Jan 7, 2020
lecture_01_introduction
pic
Apr 30, 2020
lecture_04_pandas
lecture 3 -> 04
Dec 19, 2019
lecture_05_matplotlib
images for lecture 5 transferred to correct folder
Jul 31, 2020
lecture_06_optimization
statistics and optimization swapped
Jul 31, 2020
lecture_07_naive_bayes
pic upd
Feb 8, 2020
lecture_08_statistics
images for lecture 5 transferred to correct folder
Jul 31, 2020
lecture_09_linear_regression
pic
Jan 8, 2020
lecture_10_support_vector_machines
pic
Jan 6, 2020
lecture_11_decision_trees_and_random_forest
lecture 8 -> 11
Dec 20, 2019
lecture_12_principal_component_analysis
lecture 9 -> 12
Dec 20, 2019
lecture_13_k_means_clustering
pic
Dec 27, 2019
lecture_14_gaussian_mixture_models
pic
Jan 2, 2020
lecture_15_kernel_density_estimation
lecture 13 -> 15
Dec 20, 2019
lecture_16_manifold_learning
pic
Feb 22, 2020
pytutor
default arguments problem fixed
Jan 30, 2020
README.md
upd
Dec 28, 2021
bureaucracy.md
upd
Dec 8, 2019
caption.png
pic
Dec 23, 2019
end.gif
lol
Dec 18, 2019
gallery.ipynb
upd
Jan 7, 2020
gallery.md
upd
Jan 8, 2020
game_over.png
pic
Dec 18, 2019
geotag.png
geotag upd
Oct 12, 2019
know_how.md
Update know_how.md
Apr 17, 2020
lecture_01_introduction.ipynb
upd
Sep 2, 2021
lecture_02_python.ipynb
upd
Sep 10, 2021
lecture_03_numpy_arrays.ipynb
upd
Oct 1, 2020
lecture_04_pandas.ipynb
upd
Oct 8, 2020
lecture_05_matplotlib.ipynb
upd
Sep 30, 2021
lecture_06_optimization.ipynb
upd
Aug 23, 2021
lecture_07_naive_bayes.ipynb
upd
Oct 29, 2020
lecture_08_statistics.ipynb
upd
Nov 5, 2020
lecture_09_linear_regression.ipynb
upd
Apr 19, 2021
lecture_10_support_vector_machines.ipynb
upd
Jan 16, 2021
lecture_11_decision_trees_and_random_forest.ipynb
upd
Sep 7, 2021
lecture_12_principal_component_analysis.ipynb
upd
Nov 25, 2020
lecture_13_k_means_clustering.ipynb
upd
Nov 12, 2020
lecture_14_gaussian_mixture_models.ipynb
upd
Dec 2, 2021
lecture_15_kernel_density_estimation.ipynb
upd
Dec 10, 2020
lecture_16_manifold_learning.ipynb
upd
Dec 14, 2020
lecture_17_neural_networks.pdf
lecture 14 -> 17
Dec 22, 2019
midterm_1.md
upd
Sep 3, 2021
midterm_2.md
upd
Sep 5, 2021
next_iteration.md
upd
Oct 2, 2020
python_refresher.ipynb
upd
Apr 26, 2020
questions.txt
upd
Dec 25, 2019
test_basic_functions.ipynb
"Day" removed as meaningless
May 2, 2019
test_ground.ipynb
upd
Apr 28, 2021
workbook_01_introduction.ipynb
upd
Aug 16, 2020
workbook_02_python.ipynb
upd
Sep 4, 2021
workbook_03_numpy_arrays.ipynb
upd
Sep 19, 2020
workbook_04_pandas.ipynb
upd
Sep 30, 2021
workbook_05_matplotlib.ipynb
upd
Jul 31, 2020
workbook_06_optimization.ipynb
upd
Oct 23, 2020
workbook_07_naive_bayes.ipynb
upd
Sep 16, 2020
workbook_08_statistics.ipynb
statistics and optimization swapped
Jul 31, 2020
workbook_09_linear_regression.ipynb
upd
Aug 25, 2020
workbook_10_support_vector_machines.ipynb
upd
Jan 1, 2022
workbook_11_decision_trees_and_random_forest.ipynb
upd
Nov 22, 2020
workbook_12_principal_component_analysis.ipynb
upd
Nov 25, 2020
workbook_13_k_means_clustering.ipynb
upd
Nov 26, 2021
workbook_14_gaussian_mixture_models.ipynb
upd
Dec 8, 2020
workbook_15_kernel_density_estimation.ipynb
upd
Sep 15, 2020
workbook_16_manifold_learning.ipynb
upd
Dec 14, 2020