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