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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.
- Intro to Data Science, Relational Databases & SQL
- Getting started with IPython & Git
- APIs and semi-structured data
- IPython.parallel & StarCluster
- Hadoop Distributed File System and Spark
- 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?
- 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)
- Probability, A/B Tests & Statistical Significance
- Probability and Statistics (Khan Academy Course)
- Visualizing Distributions of Data
- Multiple Linear Regression and ANOVA
- Project Elevator Pitches
- Logistic Regression and Generlized Linear Models
- Time Series Analysis & Midterm Review
- Principal Components Analysis
- Text Mining & Naïve Bayes
- Nonlinear Models
- Grid Search and Parameter Selection
- Bringing it Together
- Final Project Working Session
- Final Project Working Session
- Final Project Presentations (12 min. each)
- Final Project Presentations (12 min. each)
- Future Directions
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 | Homework 3 Assigned and Project Elevator Pitch in class (4 minutes each) |
Project Live on Github |
2/24 | Homework 3 Due | EiR Feedback on Homework 2 |
2/26 | Peer Feedback of Projects | Peer Feedback on Project |
3/3 | Peer Feedback of Homework 3 | Peer Feedback on Homework 3 |
3/10 | Midterm Assessment Due | |
3/17 | At least one working model | |
3/24-26 | Final Presentations (12 minutes each) | Midterm Graded |
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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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