GADSLA_1403

General Assembly Data Science, Los Angeles, March 2014

Final "Happy Fun" Project Info

• Presentation and Report Due last day of class, Thursday May 15th.
• Project Ideas and Data

Useful Books

• A list of useful books

General Info

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.

Key Dates

• February 25, 2014: Data Science Information Session
• March 4, 2014: First Day of Class
• May 15, 2014: Last Day of Class

Classes

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

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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): Speaker (Datasift) & Dataset Transformation

Class 18 (2014-05-01): Data Visualization

Class 19 (2014-05-06): Pre-class Resume Prep & Hadoop

Class 20 (2014-05-08): Distributed Data Processing

Class 21 (2014-05-13):

Class 22 (2014-05-15): Final Presentations and Reports!