GADSLA_1403

General Assembly Data Science, Los Angeles, March 2014

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.

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!