I practice my data science skills here. Data Acquisition: https://github.com/emptymalei/data-acquisition Data Visualization: https://github.com/emptymalei/data-presentation
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bili
bilidash
coursers/executive-data-science
fun
housing
images
mapreduce
papers/pmc
pytorch
spiders
test
time-series
tricks
us/state-rank-mckinsey
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.gitignore
README.md

README.md

data-playground

For my data acquisition code, please refer to data-acquisition.

.
├── README.md
├── bili
│   ├── bilidata.py      #clean up data from bilibili
│   ├── csv.ipynb        #rewrite data into csv format since someone asked for it 
│   ├── data             #folder for data
│   ├── database.ipynb   #database manipulation and some general visualizations
│   ├── mongodb.ipynb    #interact with mongodb
│   └── readme.md         
├── coursers
│   └── executive-data-science        #Notes for cousera course
├── mapreduce
│   └── mapreduce_advanced_count_number_of_friends.py     #Learn Map-Reduce
├── pytorch
│   ├── basics.ipynb                           #Learn basics of pytorch
│   ├── demo.ipynb                             #Playing with demo
│   ├── neural-networks-with-torch.ipynb       #Build neural networks using PyTorch
│   └── variables-and-autograd.ipynb           #Learn about autograd
├── spiders                       #Spiders
│   ├── linkedin                  #Crawler for linkedin      
│   └── scrapy                    #Learn Scrapy
├── time-series                     #Time Series Theories and Practice
│   ├── audio-processing.ipynb      #DSP
│   ├── geodata.ipynb               #Play with Time Series GeoData
│   └── time-series-data.ipynb      #Theories of time series data
└── us                              #About USA
    └── state-rank-mckinsey         #Best States Ranks by McKinsey

Resources

  1. https://python-graph-gallery.com/