GA-DAT-08

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GA Data Science

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GA-DAT-08
=========

## Introductions
* [Lesson 1: Unix and Python Introductions](https://github.com/jhaski/GA-DAT-08/wiki/Lesson_0:-Unix-and-Python-Lab)

* [Lesson 2: Linear Algebra and Python Control Flow](https://github.com/jhaski/GA-DAT-08/wiki/Lesson_1:-Linear-Algebra---Python-Control-Flow)

* [Lesson 3: Using Numpy, Scipy, and Pandas](https://github.com/jhaski/GA-DAT-08/wiki/Lesson_2:-Using-Numpy,-Scipy,-and-Pandas)

* [Lesson 4: Intro to Databases](https://github.com/jhaski/GA-DAT-08/wiki/Lesson_3:-Intro-to-Databases)

* [Lesson 5: Data Visualization and Manipulation](https://github.com/jhaski/GA-DAT-08/wiki/Lesson_4:-Data-Visualization)

## Supervised Models

* [Regression & Regularization](https://github.com/jhaski/GA-DAT-08/wiki/Regression-&-Regularization)

* [Lesson 6: Logistic Regressions](https://github.com/jhaski/GA-DAT-08/wiki/Logistic-Regressions)

* [Lesson 7: Bayesian Inference](https://github.com/jhaski/GA-DAT-08/wiki/Bayesian-Inference)

* [Lesson 8: Decision Trees and Random Forests](https://github.com/jhaski/GA-DAT-08/wiki/Random-Forests)

* [Lesson 10: Ensemble Methods](https://github.com/jhaski/GA-DAT-08/wiki/Lesson-10:-Ensemble-Methods)

* [Lesson 15: Hadoop](https://github.com/jhaski/GA-DAT-08/wiki/Lesson-15:-Hadoop-and-Impala-Exercises)
  - [Setting Up Hadoop](https://github.com/jhaski/GA-DAT-08/wiki/Lesson-15:-Setting-up-AWS)

* [Lesson 16: Spark](https://github.com/jhaski/GA-DAT-08/wiki/Lesson-16:-Spark)

GA-DAT-08

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