Data Science

Machine Learning

Supervised learning:

Linear and logistic regressions

Decision Trees

Support Vector Machines (SVM)

Unsupervised learning:

k-means clustering

principal component analysis (PCA)

Certified in AI and ML for Business and Engineering 

with additional experience using:

Bayesian & gaussian classifiers, random forest, data mining, neural networks, and ensemble classifiers / context-dependent classification for descriptive analytics, predictive analytics, and prescriptive analytics