Portfolio

Machine Learning	Notes	Language
Decision Trees, Random Forests, and Gradient Boosting	w/ Cross Validation	Python
K-Means		Python
KNN	w/ Grid Search for Hyperparamter Tuning	Python
Multilinear Regression	w/ Test, Train, Split & Cross Validation	Python
Naive Bayes and SVM	w/ cross vailidation	Python
Preprocessing		Python

Visualization	Dataset
Tableau	Immigration
Gephi	Grammar School Social Network

Name		Name	Last commit message	Last commit date
Latest commit History 84 Commits
Decision Trees, Random Forests, and Gradient Boosting.ipynb		Decision Trees, Random Forests, and Gradient Boosting.ipynb
Gephi - Social Network Analysis.pdf		Gephi - Social Network Analysis.pdf
K-Means Clustering of USArrests.ipynb		K-Means Clustering of USArrests.ipynb
KNN with Grid Search.ipynb		KNN with Grid Search.ipynb
Multilinear Regression on Sales.ipynb		Multilinear Regression on Sales.ipynb
Naive Bayes and SVM with Cross Validation.ipynb		Naive Bayes and SVM with Cross Validation.ipynb
Preprocessing.ipynb		Preprocessing.ipynb
README.md		README.md
Tableau - Exploratory Dashboard - Immigration to OECD Countries.twbx		Tableau - Exploratory Dashboard - Immigration to OECD Countries.twbx
Tableau - Exploratory Dashboard Information.pdf		Tableau - Exploratory Dashboard Information.pdf
Tableau - Exploratory Dashboard PNG .png		Tableau - Exploratory Dashboard PNG .png

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