From 5ab4ecee3a621a98da7baf25879e76a4f0e4cb55 Mon Sep 17 00:00:00 2001 From: Donne Martin Date: Tue, 24 May 2016 07:05:11 -0400 Subject: [PATCH 1/3] Add reference to nlintz/TensorFlow-Tutorials --- README.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 785dc49..43e3aae 100644 --- a/README.md +++ b/README.md @@ -82,6 +82,11 @@ IPython Notebook(s) demonstrating deep learning functionality. ### tensor-flow-tutorials +Additional TensorFlow tutorials: + +* [pkmital/tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials) +* [nlintz/TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials) + | Notebook | Description | |--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------| | [tsf-basics](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/1_intro/basic_operations.ipynb) | Learn basic operations in TensorFlow, a library for various kinds of perceptual and language understanding tasks from Google. | @@ -96,8 +101,6 @@ IPython Notebook(s) demonstrating deep learning functionality. | [tsf-gviz](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/graph_visualization.ipynb) | Learn about graph visualization in TensorFlow. | | [tsf-lviz](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/loss_visualization.ipynb) | Learn about loss visualization in TensorFlow. | -Also check out another set of TensorFlow tutorials [here](https://github.com/pkmital/tensorflow_tutorials). - ### tensor-flow-exercises | Notebook | Description | @@ -326,6 +329,7 @@ Notebooks tested with Python 2.7.x. * [Statistical Interference Using Computational Methods in Python](https://github.com/AllenDowney/CompStats) by Allen Downey * [TensorFlow Examples](https://github.com/aymericdamien/TensorFlow-Examples) by Aymeric Damien * [TensorFlow Tutorials](https://github.com/pkmital/tensorflow_tutorials) by Parag K Mital +* [TensorFlow Tutorials](https://github.com/nlintz/TensorFlow-Tutorials) by Nathan Lintz * [Summer School 2015](https://github.com/mila-udem/summerschool2015) by mila-udem * [Kaggle](https://www.kaggle.com/) * [Yhat Blog](http://blog.yhat.com/) From 60735896bd6bf479e482e5b629328d27d177005c Mon Sep 17 00:00:00 2001 From: Donne Martin Date: Sat, 4 Jun 2016 07:17:10 -0400 Subject: [PATCH 2/3] Update GitHub data wrangling notebook README description Makes the description more consistent with other notebooks. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 43e3aae..5aa6900 100644 --- a/README.md +++ b/README.md @@ -161,7 +161,7 @@ IPython Notebook(s) demonstrating pandas functionality. | Notebook | Description | |--------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------| | [pandas](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/pandas/pandas.ipynb) | Software library written for data manipulation and analysis in Python. Offers data structures and operations for manipulating numerical tables and time series. | -| [github-data-wrangling](https://github.com/donnemartin/viz/blob/master/githubstats/data_wrangling.ipynb) | Demonstrates loading, cleaning, merging, and feature engineering of GitHub data from the [`Viz`](https://github.com/donnemartin/viz) repo. | +| [github-data-wrangling](https://github.com/donnemartin/viz/blob/master/githubstats/data_wrangling.ipynb) | Learn how to load, clean, merge, and feature engineer by analyzing GitHub data from the [`Viz`](https://github.com/donnemartin/viz) repo. |

From b2da6e6704d65693dea6405d00038603df4b27b5 Mon Sep 17 00:00:00 2001 From: Donne Martin Date: Mon, 20 Jun 2016 05:33:42 -0400 Subject: [PATCH 3/3] Update applied matplotlib notebook README description Makes the description more consistent with other notebooks. --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 5aa6900..dadb05f 100644 --- a/README.md +++ b/README.md @@ -175,7 +175,7 @@ IPython Notebook(s) demonstrating matplotlib functionality. | Notebook | Description | |-----------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------| | [matplotlib](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/matplotlib.ipynb) | Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. | -| [matplotlib-applied](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/matplotlib-applied.ipynb) | Matplotlib visualizations appied to Kaggle competitions for exploratory data analysis. Examples of bar plots, histograms, subplot2grid, normalized plots, scatter plots, subplots, and kernel density estimation plots. | +| [matplotlib-applied](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/matplotlib/matplotlib-applied.ipynb) | Apply matplotlib visualizations to Kaggle competitions for exploratory data analysis. Learn how to create bar plots, histograms, subplot2grid, normalized plots, scatter plots, subplots, and kernel density estimation plots. |