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