alexander/intro-to-data-science
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Alexander H 2018-03-21 17:56:43 +01:00
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@ -17,3 +17,7 @@ This project uses popular Python libraries that can be installed via a requireme
Alternatively, it can be started in the Anaconda environment (version 4.3.0, 64-bit) running Python 3.x. Alternatively, it can be started in the Anaconda environment (version 4.3.0, 64-bit) running Python 3.x.
After installation, start Jupyter via running `jupyter notebook` and wait for a new tab to be opened in your default web browser. Then, open the notebook called [intro_to_machine_learning.ipynb](intro_to_machine_learning.ipynb). After installation, start Jupyter via running `jupyter notebook` and wait for a new tab to be opened in your default web browser. Then, open the notebook called [intro_to_machine_learning.ipynb](intro_to_machine_learning.ipynb).
## Read-only Version
For those interested in just reading the example codes without installing anything, just open this [notebook](intro_to_machine_learning.ipynb) and view the Jupyter notebook in your browser.