tensorflow-for-deep-learnin.../machine_learning_examples/ml_notebooks
2019-10-27 15:05:11 -07:00
..
basics.ipynb 👾 Add some machine learning experiments 2019-10-27 15:05:11 -07:00
feature_crosses.ipynb 👾 Add some machine learning experiments 2019-10-27 15:05:11 -07:00
feature_sets.ipynb 👾 Add some machine learning experiments 2019-10-27 15:05:11 -07:00
first_steps_with_tensor_flow.ipynb 👾 Add some machine learning experiments 2019-10-27 15:05:11 -07:00
intro_to_pandas.ipynb 👾 Add some machine learning experiments 2019-10-27 15:05:11 -07:00
learning_from_unbalanced_clases.ipynb 👾 Add some machine learning experiments 2019-10-27 15:05:11 -07:00
PrinciplesOfAlgorithmicProblemSolvingDRAFT.pdf 👾 Add some machine learning experiments 2019-10-27 15:05:11 -07:00
README.md 👾 Add some machine learning experiments 2019-10-27 15:05:11 -07:00
synthetic_features_and_outliers.ipynb 👾 Add some machine learning experiments 2019-10-27 15:05:11 -07:00

Jupyter Notebooks

Installing

Install any dependences for Jupyter:

$ apt-get install build-essential python3-dev
$ pip install jupyter

Running

On the notebook directory:

$ jupyter notebook

Basics

  • A notebook is made up of a number of cells with Python code. You can execute a cell by clicking on it and pressing Shift-Enter.