MachineLearning

CS 461 Projects Files

Includes implentations of,

Includes reports on,

Dimension Reduction, covering PCA, Autoencoders, and correlation graphs.
Classification, covering decision Trees, logistic regression, and a derivation of SVMs.

Name		Name	Last commit message	Last commit date
Latest commit History 45 Commits
HW2_code		HW2_code
__pycache__		__pycache__
Classification.pdf		Classification.pdf
Dimension Reduction.pdf		Dimension Reduction.pdf
HW2_F1.png		HW2_F1.png
HW2_F2.PNG		HW2_F2.PNG
HW2_F3.PNG		HW2_F3.PNG
HW2_F4.PNG		HW2_F4.PNG
HW2_F5.png		HW2_F5.png
HW2_F6.png		HW2_F6.png
HW2_F7.png		HW2_F7.png
HW2_F8.png		HW2_F8.png
HW2_F9.png		HW2_F9.png
Leaves_Masked.jpg		Leaves_Masked.jpg
Leaves_Test.png		Leaves_Test.png
README.md		README.md
Wood_Masked.jpg		Wood_Masked.jpg
auto_encoder.py		auto_encoder.py
bin_sizes.p		bin_sizes.p
classification_tree.py		classification_tree.py
classification_tree_prob.py		classification_tree_prob.py
classification_tree_var.py		classification_tree_var.py
correlations.py		correlations.py
dataset.csv		dataset.csv
decision_tree.py		decision_tree.py
final_data_processing.py		final_data_processing.py
final_tree_sk.py		final_tree_sk.py
generation_tree.py		generation_tree.py
linear_regression.py		linear_regression.py
logistic_regression.py		logistic_regression.py
neuralnetwork_digit.py		neuralnetwork_digit.py
pca.py		pca.py
test		test
test.py		test.py
tree		tree
tree.pdf		tree.pdf

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