DAT SF 12

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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)
   • Clustering: k-means (PDF Slides)
   • Clustering: Hierarchical Clustering (PDF Slides)
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. Project Elevator Pitches
11. Logistic Regression and Generlized Linear Models
    • Logistic Regression in Python
12. Time Series Analysis & Midterm Review
13. Principal Components Analysis
    • PCA and other Decomposition Examples in scikit-learn
14. Text Mining & Naïve Bayes
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)
22. Future Directions

Project Schedule

======= Note: I am working through the feedback on my proposal and hope to have the formal proposal posted on 2/12/15

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