We build and deploy the following Machine Learning models :
Supervised Learning algorithms:
Linear Regression
Logistic Regression
Support Vector Machines (SVMs)
Decision Trees and Random Forests
K-Nearest Neighbors
Naive-Bayes

Unsupervised Learning algorithms:
Clustering
K-Means
Hierarchical Cluster Analysis (HCA)
Expectations Maximization

Dimensionality Reduction algorithms
Principal Component Analysis (PCA)

Association rule learning
Apriori