Data Science Workshop Materials for Stern Business Analytics Club Insight Team.
Week 1: Team formation, Project Expectation, Introduction to Python
- Download Jupyter Notebook
- Introduction to Python Notebook
Week 2: Review Project Proposal, Command Line, Pandas and Numpy
- Navigating Command Line and Git
- Pandas and Numpy Notebook
Week 3: Stats, Matplotlib and Linear Regression
- Due: Project Proposal
- Statistics and Plotting Notebook
- Linear Regression Notebook
Week 4: Logistic Regression, Data Cleaning
Week 5: Decision Trees and Random Forest
Week 6: Feature Engineering and Model Evaluation
- Due: Project Check in #1
- Feature Engineering
- Model Evaluation
Week 7: Other Models (SVM and Naive Bayes)
Week 8: Start of Neural Networks and Going from Models to Recommendations
- Due: Project Check in #2
- MultiLayer Perceptrons
- Discuss how to translate model output to the problem of interest
Week 9: Practice Presentation
- Offer critique on presentation and recommendations
Week 10: Final Presentation