Data Science

"Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world."
- Atul Butte, Stanford University

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This Data Science bootcamp was aggregated by Amit Maraj & Connlaoi Smith.

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All materials used within this bootcamp are credited to their respective authors.

Basics

Outline:

1. Implementation and Jupyter

2. Custom NumPy Classes

3. Datasets and DataFrames

4. Pre-Processing Data

5. Intro to Data Science

6. Define the Problem

7. Gathering Data

8. Preparing Data for Consumption

9. Exploratory Analysis

10. Modelling Data

11. Evaluating a Model

12. Tuning a Model

13. Validate and Implement

14. SVM for Classification

15. Working with Data from a Database