GitHub - s183920/02450_intro_to_ML_project: Scripts used for a ML project in the course Introduction to machine learning and data mining

A folder of our Data-representation of our selected Data of Trendy youtube videoes for Report 1 of DTU course 02450

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Datasets		Datasets
__pycache__		__pycache__
.DS_Store		.DS_Store
02450_MACHINELEARNING_R1.pdf		02450_MACHINELEARNING_R1.pdf
02450project1.pdf		02450project1.pdf
02450project2.pdf		02450project2.pdf
ANN.py		ANN.py
ANN2.py		ANN2.py
BASELINE.py		BASELINE.py
Clustering_R3.png		Clustering_R3.png
Dataload.py		Dataload.py
GMM.py		GMM.py
Histo.png		Histo.png
Histo_log.png		Histo_log.png
KNN.py		KNN.py
KNN_new.py		KNN_new.py
Logreg.py		Logreg.py
Mc.py		Mc.py
Models.py		Models.py
Models_classy.py		Models_classy.py
Outliers.py		Outliers.py
PCA.py		PCA.py
README.md		README.md
Regress.py		Regress.py
Regress_class.py		Regress_class.py
Regu_lambda.py		Regu_lambda.py
Regularization_Factor.png		Regularization_Factor.png
__init__.py		__init__.py
ass_mining.py		ass_mining.py
baseline_class.py		baseline_class.py
categories.py		categories.py
clean_data.py		clean_data.py
cluster_hier.py		cluster_hier.py
cluster_val.py		cluster_val.py
compare_reg.py		compare_reg.py
date_cleaning.py		date_cleaning.py
h.py		h.py
lin_reg_2layer.py		lin_reg_2layer.py
pairplot.png		pairplot.png
pca2.py		pca2.py
skabelon.py		skabelon.py
summary.py		summary.py

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