kit-machine-learning-master
.gitignore
2KB
README.md
22B
Exercise-02
feedback_exercise_2.txt
673B
02-Initial_Files
x_samples.npy
8KB
x_plt.npy
936B
iris_data.npz
7KB
y_plt.npy
936B
exercise.ipynb
52KB
y_samples.npy
8KB
02-Solutions
x_samples.npy
8KB
group_13_ubibt_ugyxt_uixbe.zip
657KB
x_plt.npy
936B
iris_data.npz
7KB
y_plt.npy
936B
exercise.pdf
382KB
exercise.ipynb
429KB
y_samples.npy
8KB
ExPoints.txt
571B
Exercise-01
feedback_exercise_1.txt
1KB
01-Solutions
two_moons.npz
3KB
group_13_ubibt_ugyxt_uixbe.zip
365KB
training_data.npy
288B
exercise.pdf
241KB
exercise.ipynb
212KB
test_data.npy
2KB
01-Initial_Files
two_moons.npz
3KB
training_data.npy
288B
exercise.ipynb
56KB
test_data.npy
2KB
Exercise-04
04-Initial_Files
exercise4.ipynb
34KB
two_moons.npz
3KB
two_moons_test.npz
3KB
04-Solution
exercise4.ipynb
277KB
two_moons.npz
3KB
group_13_ubibt_ugyxt_uixbe.zip
453KB
two_moons_test.npz
3KB
exercise4.pdf
289KB
feedback_exercise_4.txt
702B
Exercise-00
00-Initial_Files
zeroth_exercise.ipynb
13KB
zeroth_exercise_pdf.pdf
217KB
00-Solutions
group_13_ubibt_ugyxt_uixbe.zip
91KB
zeroth_exercise.ipynb
27KB
zeroth_exercise.pdf
75KB
requirements.txt
1KB
Exercise-03
03-Solutions
exercise3.ipynb
994KB
group_13_ubibt_ugyxt_uixbe.zip
1.36MB
exercise3.pdf
681KB
samples_3.npy
8KB
samples_2.npy
8KB
samples_u.npy
8KB
samples_1.npy
8KB
03-Initial_Files
exercise3.ipynb
27KB
samples_3.npy
8KB
samples_2.npy
8KB
samples_u.npy
8KB
samples_1.npy
8KB
feedback_exercise_3.txt
867B
Lectures
04_TreesAndForests
04_TreesAndForests.pdf
1.93MB
Organization + Introduction.pdf
2.31MB
02_LinearClassification
02_LinearClassification.pdf
2.58MB
02_LinearClassification_LectureNotebook
two_moons.npz
3KB
lc_lecture.ipynb
55KB
02_LinearClassification_annotated.pdf
3.24MB
07_KernelMethods
KernelMethods.pdf
704KB
kernel_ridge_regression_notebook
y_test.npy
528B
x_plot.npy
928B
y_train.npy
248B
x_train.npy
248B
x_test.npy
528B
y_plot.npy
928B
kernel_ridge_regression.ipynb
163KB
06_DensityEstimation
DensityEstimation.pdf
1.56MB
03_ModelSelection
03_ModelSelection_LectureNotebook
bias_var_tradeoff.ipynb
40KB
03_ModelSelection.pdf
1.59MB
10_NeuralNets
10_NeuralNets.pdf
4.06MB
08_SVMs
08_SVMs.pdf
3.09MB
09_BayesianLearning
09_BayesianLearning.pdf
3.17MB
01_LinearRegression
01_LinearRegression_LectureNotebook
linear_regression_lecture.ipynb
108KB
training_data.npy
288B
test_data.npy
2KB
01_LinearRegression_annotated.pdf
2.3MB
01_LinearRegression.pdf
1.39MB
05_DimensionalityReduction
05_DimensionalityReduction.pdf
1.51MB
05_DimensionalityReductionClustering.pdf
3.61MB
05_DimensionalityReduction_LectureNotebook.ipynb
118KB
Exercise-05
02-Solution
x_plot.npy
928B
y_train.npy
368B
x_train.npy
368B
y_plot.npy
928B
exercise.ipynb
238KB
01-Initial_Files
x_plot.npy
928B
y_train.npy
368B
x_train.npy
368B
y_plot.npy
928B
exercise.ipynb
18KB
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