GitHub - artessman/Machine-Learning: introduction to machine learning algorithms, with emphasis on their application in data science and cybersecurity. Topics include dimensionality reduction, regression, clustering, support vector machines, decision trees, naïve Bayes, and neural networks. The course includes a significant project component, with real-world data.

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TessmaAden_ML_HW05		TessmaAden_ML_HW05
TessmaAden_ML_Lab01		TessmaAden_ML_Lab01
TessmaAden_ML_Lab05		TessmaAden_ML_Lab05
TessmanAden_HW6(optional)/TessmanAden_HW6(optional)		TessmanAden_HW6(optional)/TessmanAden_HW6(optional)
TessmanAden_ML_HW01		TessmanAden_ML_HW01
TessmanAden_ML_HW02		TessmanAden_ML_HW02
TessmanAden_ML_HW03		TessmanAden_ML_HW03
TessmanAden_ML_HW04		TessmanAden_ML_HW04
TessmanAden_ML_HW09		TessmanAden_ML_HW09
TessmanAden_ML_Hw7		TessmanAden_ML_Hw7
TessmanAden_ML_Lab02		TessmanAden_ML_Lab02
TessmanAden_ML_Lab03		TessmanAden_ML_Lab03
TessmanAden_ML_Lab04		TessmanAden_ML_Lab04
TessmanAden_ML_Lab08		TessmanAden_ML_Lab08
TessmanAden_ML_Lab6		TessmanAden_ML_Lab6
TessmanAden_ML_Lab7		TessmanAden_ML_Lab7
Tessman_Aden_ML_Lab09		Tessman_Aden_ML_Lab09

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introduction to machine learning algorithms, with emphasis on their application in data science and cybersecurity. Topics include dimensionality reduction, regression, clustering, support vector machines, decision trees, naïve Bayes, and neural networks. The course includes a significant project component, with real-world data.