- Presentation and Report Due last day of class, Thursday May 15th.
- Project Ideas and Data
Here, you'll find links to slides, handouts, and other material.
- General Assembly Class Information
- General Resources: Links to Python and other tools and libraries that we'll be using.
- February 25, 2014: Data Science Information Session
- March 4, 2014: First Day of Class
- May 15, 2014: Last Day of Class
- Class 1 (2014-03-04): Introduction to Data Science & Basic Data Manipulation
- Class 2 (2014-03-06): Python & Data Parsing
- Class 3 (2014-03-11): SQL & Python
- Class 4 (2014-03-13): NoSQL & Python
- Class 5 (2014-03-18): Introduction to Machine Learning
- Class 6 (2014-03-20): Linear Regression and Regularization
- Class 7 (2014-03-25): Logistic Regression (Project Outline Due!)
- Class 8 (2014-03-27): Naive Bayes & Bayesian Estimators (Project Outline Discussion!)
- Class 9 (2014-04-01): Decision Trees and Random Forests
- Class 10 (2014-04-03): Classification Review
- Class 11 (2014-04-08): Ensemble Learning
- Class 12 (2014-04-10): K-Means Clustering
- Class 13 (2014-04-15): PCA & Unsupervised Learning
- Class 14 (2014-04-17): Recommendation Systems
- Class 15 (2014-04-22): Further Topics in Unsupervised Learning
- Class 16 (2014-04-24): Model Selection and Evaluation
- Class 17 (2014-04-29): Dataset Transformation (Speaker from Datasift)
- Class 18 (2014-05-01): Data Visualization
- Class 19 (2014-05-06): Hadoop (Pre-class Resume Prep - Students need to email Daniel)
- Class 20 (2014-05-08): Field Trip to Factual!!!!
- Class 21 (2014-05-13): Distributed Data Processing with BDAS and Spark
- Class 22 (2014-05-15): Guest Speaker: Eduardo Arino de la Rubia and Final Presentations and Reports!
- Post-Class (2014-05-22): Data Science Career Panel