Link to Content:

Learn Data Science

Created/Published/Taught by:

Nitin Borwankar

Pivotal Inc.

Alpine Data Labs

Content Found Via:

KDnuggets

Free? Yes

Tags: clustering / data science / k-means / linear regression / logistic regression / random forests

Content Type: Curricula / Intro Guide / References, Learning Guides, Etc. / Tutorial

Difficulty Rating:

Difficulty Rating:

FromĀ GitHub:

- “A collection of Data Science Learning materials in the form of iPython Notebooks.
- Associated data sets.

The initial beta release consists of four major topics

- Linear Regression
- Logistic Regression
- Random Forests
- K-Means Clustering

Each of the above has at least three iPython Notebooks covering

- Overview (an exposition of the technique for the math-wary)
- Data Exploration (the nuts and bolts of real world data wrangling)
- Analysis (using the technique to get results)

One or more of these might have supplementary material. Each of these have worksheets that contain mostly the code section so you can iteratively explore the code.”

Recommended Prerequisites: requires either the EDP Free Enthought Python Distribution or Anaconda Python

Go to Content: Learn Data Science

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