Workshops
Introduction to Python (Department of Agricultural Economics, Texas A&M University)
Course Materials
AGBU 505: Advanced Quantitative Marketing Using R (Armenian National Agrarian University)
- Lecture 1 - Linear Regression presentetion, lab session, data
- Lecture 2 - Regression tree, Boosting, Random Forest presentetion, lab session
- Lecture 3 - Classification presentetion, lab session, data
- Lecture 4 - Choice Models, Conjoint Analysis presentetion, lab session, data
- Lecture 5 - Principal Component Analysis, Perceptual Mapping presentetion, lab session, data
- Lecture 6 - Cluster Analysis presentetion, lab session, data
- Lecture 7 - Association Rules, Market Basket Analysis presentetion, lab session
Math Camp (Department of Agricultural Economics, Texas A&M University)
- Lecture 0 - Mathematical Logic
- Lecture 1 - Mathematical Proofs
- Lecture 2 - Sets
- Lecture 3 - Properties of Real Numbers
- Lecture 4 - Sequences
- Lecture 5 - Topology of Sets
- Lecture 6 - Continuity
- Lecture 7 - Derivative