DAT SF 12

Instructor:	Alessandro Gagliardi
EiRs:	Ramesh Sampath
	Otto Stegmaier
	Alex Chao
Classes:	6:30pm-9:30pm, Tuesday and Thursdays
	January 15 – March 31
Office Hours:	Alex Chao, 5:30 - 6:30 before class at GA
	Otto Stegmaier, 9:30 - 10:00 after class at GA
	Ramesh Sampath, 4:00 - 6:00 Saturdays remote
	Can also set by appointment

Homework is to be submitted by posting it to your own github repo. Then post the URL and folder where the homework lives at here.

---

Tentative Course Outline

1. Intro to Data Science, Relational Databases & SQL
2. Getting started with IPython & Git
   • How to Use Git and GitHub
3. APIs and semi-structured data
   • Mining Twitter
4. IPython.parallel & StarCluster
   • Parallel Computing with IPython
5. Hadoop Distributed File System and Spark
   • AMP Camp 5 Exercises
6. Intro to ML: k-Nearest Neighbor Classification
   • Nearest Neighbor Methods (PDF Slides)
   • k-Nearest Neighbor Classification Algorithm (YouTube Video)
   • K Nearest Neighbors (Coursera Video)
   • KNN for Humans
   • Intuitive Classification using KNN and Python
   • Nearest Neighbors Classification (scikit-learn documentation)
   • Should I normalize/standardize/rescale the data?
7. Clustering: Hierarchical and K-Means
   • A Tutorial on Clustering Algorithms (web tutorial)
   • K-means (scikit-learn documentation) <<<<<<< HEAD =======
   • Clustering: k-means (PDF Slides)
   • Clustering: Hierarchical Clustering (PDF Slides)

016478627c6b1264d8355bed55ac8d2e77152e78

8. Probability, A/B Tests & Statistical Significance
   • Probability and Statistics (Khan Academy Course)
   • Visualizing Distributions of Data
9. Multiple Linear Regression and ANOVA
   • Plotting Linear Models using Seaborn
   • Why ANOVA and Linear Regression are the Same Analysis
   • Linear Regresion and ANOVA (Examples in R)
10. Logistic Regression and Generlized Linear Models
    • Logistic Regression in Python
    • Explaining Odds Ratios
11. Project Elevator Pitches
    • See Student Project Repos below
12. Naïve Bayes, Cross Validation, ROC, AUC & Midterm Review - Part I
    • Receiver operating characteristic (wikipedia article)
    • Receiver Operating Characteristic (ROC) (scikit-learn documentation)
13. Naïve Bayes, Cross Validation, ROC, AUC - Part II
14. Principal Components Analysis
    • PCA and other Decomposition Examples in scikit-learn
15. Nonlinear Models
16. Grid Search and Parameter Selection
17. Bringing it Together
18. Final Project Working Session
19. Final Project Working Session
20. Final Project Presentations (12 min. each)
21. Final Project Presentations (12 min. each) <<<<<<< HEAD
22. Future Directions <<<<<<< HEAD =======
23. Future Directions

016478627c6b1264d8355bed55ac8d2e77152e78 =======

Project Schedule

Date	Due	Returned
1/22	Preliminary Project Proposals Due (3-4 sentences)
1/27	Homework 1
1/29		EiR Feedback on Project Proposals
2/3		EiR Feedback on Homework 1
2/5	Formal Proposals (including data and methods chosen)
2/10	Homework 2 Assigned
2/12		EiR Feedback on Formal Proposals
2/17	Homework 2 Due
2/19	Project Elevator Pitch in class (4 minutes each)	Project Live on Github
2/24		Homework 3 Assigned
2/26	Peer Feedback of Projects	Peer Feedback on Project
3/3		Midterm Assessment Posted
3/10	Midterm Assessment Due
3/17	At least one working model
3/24-26	Final Presentations (12 minutes each)	Midterm Graded
<<<<<<< HEAD

614f5817a6aae7dc1f97ddb3bcabd660284af944 =======

Student Project Repos:

| Student | Repo | | Ajay Anand | sryballin/GeneralAssembly-DS | | Zachary Cousens | zfcousens/DAT_SF_12/tree/gh-pages/Project | | Carmen Diaz Echauri | cde/? | | Deepthi Duddempudi | DeepthiGA/Project | | Vijay Duraipalam | coolcalguy/DAT_SF_12/tree/gh-pages/Project | | Cheong-tseng Eng | ctteng/GA-Proj-GPSAnomalyDetection.git | | David Feng | selwyth/neighborhood | | Isabel Friedman | isabitz/whales | | Dave Halvorson | git-halvorson/DAT_SF_12/tree/gh-pages/FinalProject | | Alison Harmon | alharmon13/DAT_SF_12/tree/gh-pages/project | | Markus Huber | mbhuber/USconsumers | | Ryan Hughes | cryhughes/AVS-Kaggle | | Tania Ibanez | positiveepsilon/GA_Project | | Roxana Ordonez | rockyroxana/bike-share-forecast.git | | Justin Peterson | justinrpeterson/? | | April Song | khsong92/ga_ds | | India Swearingen | iswearingen/DAT_SF_12/blob/gh-pages/Homework/Project-IS-load-data.ipynb | | Bing Wang | bingbingboo/DAT_SF_12/blob/gh-pages/Homework/2014flightdatalab.ipynb | | Jaime Williams | jawilliams3000/OaklandCrime | | David Yerrington | dyerrington/Rapstats | <<<<<<< HEAD

922455e3262c6cf1eb483e01defe7765c1d4a807 ======= | Matt Jones | jonesmatt415/NCAA-Prediction-Project- | a71381d39b700707910f2950ba9aa41bda804091