DS_BOS_06

The 6th iteration of the Boston Data Science course

Course materials for General Assembly's Data Science course in Boston (6/23/15 - 9/3/15).

Instructor:

Expert-in-Residence:

Homework Submission: Student Repo

Week	Tuesday	Thursday
1	6/23: Intro to Data Science and Machine Learning	6/25: Intro to Databases
2	6/30: NoSQL, Python, and Pandas	7/02: Command Line, Web Scraping, ETL and Data Munging Final Project Kickoff
3	7/07: Linear Regression HW1 Due	7/09: Intro to Classification - KNN
4	7/14: Probability, Naive Bayes, and Logistic Regression HW2 Due	7/16: Decision Trees Project Milestone (PM1): Elevator Pitch
5	7/21: Support Vector Machines	7/23: Neural Networks
6	7/28: Clustering Project Milestone (PM2): Data Ready	7/30: Dimensionality Reduction
7	8/04: Natural Language Processing and Latent Semantic Indexing HW3 Due	8/06: Ensemble Methods
8	8/11: Recommendation Systems Project Milestone (PM3): First Draft Due	8/13: Network Analysis
9	8/18: Time Series AnalysisAlumni Panel Discussion, Peer Feedback [Assignment] & Final Project Work Session Project Milestone (PM4): Peer Feedback Due	8/20: Project Working Session #1
10	8/25: Hadoop + Big Data 1	8/27: Hadoop + Big Data 2
11	9/01: Course Review and Project Working Session #2	9/03: Project Presentations

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
Data		Data
Lessons		Lessons
Notebooks		Notebooks
README.md		README.md

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