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DAT_SF_14

Course materials for General Assembly's Data Science course in San Francisco (4/28/15 - 7/9/15).

Instructor:

Experts-in-Residence:

  • Alex Chao (Office Hours: 2-6 pm Sundays)

  • David Feldman (Office Hours: 4-6:30 pm Tuesdays,Thursdays)


Course Schedule (Tentative)

Week Tuesday Thursday
1 4/28: Introduction to Data Exploration 4/30: Introduction to Machine Learning
2 5/05: Data Format, Access & Transformation 5/07: K-Nearest Neighbors Classification
3 5/12: Naive Bayes Classification 5/14: Regression and Regularization
4 5/19: Logistic Regression 5/21: K-Means Clustering
Project Milestone: [Elevator Pitch]
5 5/26: Decision Trees and Random Forests (1) 5/28: Decision Trees and Random Forests (2)
6 6/02: Ensemble Techniques 6/04: Support Vector Machines
7 6/09: Dimensionality Reduction 6/11: ROC Curves, AUC, & Imbalanced Classes
8 6/16: Recommendation Systems
Project Milestone: [First Draft Due]
6/18: Database Technologies
9 6/23: Final Project Work Session & Peer Feedback
Project Milestone: [Peer Feedback Due]
6/25: Map-Reduce & Hadoop
10 6/30: Distributed Data Processing (Spark) 7/02: Network Analysis
11 7/07: Project Presentations Day 1
Project Milestone: Presentation
7/09: Project Presentations Day 2
Project Milestone: Presentation & Paper

Homework Schedule

HW Topics Dataset Assigned Due
1 Data Exploration titanic 5/05 5/12
2 :)

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