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.ipynb_checkpoints
d3
example_data
example_outputs
images
10.1 SQL databases.ipynb
2.0 Starting Python.ipynb
2.1 Python Basics Basics Basics.ipynb
2.2 Python Basics inputs and outputs.ipynb
3.1 Reading Development Data.ipynb
3.2 Social Media APIs.ipynb
4.1 Plotting with Matplotlib.ipynb
4.2 Tableau_example.twb
4.3_d3_chord_online.html
4.4_d3_chord_offline.html
4.5_excel_example.xls
5.1 Cleaning Data with Python - Basics.ipynb
5.2 Cleaning Data as a process.ipynb
5.3 Exploring Data Arrays with Python and Pandas (1).ipynb
5.3 Exploring Data Arrays with Python and Pandas.ipynb
5.4 Getting started with R - Basic Functions.ipynb
5.5 R - Visualisations.ipynb
6.1 Scikit-Learn's example datasets.ipynb
6.2 Linear Regression.ipynb
6.3 Learning Classes from Data.ipynb
6.4 Learning Clusters from Data.ipynb
6.5 Dimensionality Reduction.ipynb
6.6 R Dataframes.ipynb
6.7 R Machine Learning.ipynb
7.1 Text Data Representations.ipynb
7.2 Classifying Text Data.ipynb
7.3 Natural language understanding.ipynb
8.1 Vector maps in Python.ipynb
8.2 Raster Maps in Python.ipynb
8.3 Plotting maps in Python.ipynb
9.1 Learning relationships.ipynb
Untitled.ipynb
d3.zip
helloworld.ipynb
helloworld.py
play_pandas.ipynb