|
chengjun's
repositories
|
|
.github
|
|
.ipynb_checkpoints
|
|
__pycache__
|
|
_build
|
|
data
|
|
images
|
|
img
|
|
0-chatgpt.ipynb
|
|
0-iching.ipynb
|
|
0-jupyter-notebook.ipynb
|
|
0-matplotlib-chinese.ipynb
|
|
0-slides.ipynb
|
|
0-turicreate.ipynb
|
|
01-intro2cjc.ipynb
|
|
01-recombination.ipynb
|
|
02-bigdata.ipynb
|
|
03-UK-MPS-Scandal.ipynb
|
|
03-beginning-python.ipynb
|
|
03-gdelt.ipynb
|
|
03-python-intro.ipynb
|
|
03-umbrella-of-love.ipynb
|
|
03-who-runs-China.ipynb
|
|
04-crawler-13chambers.ipynb
|
|
04-crawler-beautifulsoup.ipynb
|
|
04-crawler-cppcc.ipynb
|
|
04-crawler-douban.ipynb
|
|
04-crawler-fact-checking.ipynb
|
|
04-crawler-gov-report.ipynb
|
|
04-crawler-netease-music.ipynb
|
|
04-crawler-pyppeteer.ipynb
|
|
04-crawler-selenium-music-history.ipynb
|
|
04-crawler-selenium-people-com-search.ipynb
|
|
04-crawler-selenium.ipynb
|
|
04-crawler-snscrape-twitter.ipynb
|
|
04-crawler-tripadvisor.ipynb
|
|
04-crawler-wechat.ipynb
|
|
04-crawler-weibo.ipynb
|
|
06-data-cleaning-intro.ipynb
|
|
06-data-cleaning-music-list.ipynb
|
|
06-data-cleaning-occupy-central-news.ipynb
|
|
06-data-cleaning-pandas.ipynb
|
|
06-data-cleaning-preprocessing.ipynb
|
|
06-data-cleaning-tweets.ipynb
|
|
08-01-statistics-thinking.ipynb
|
|
08-02-kl-divergence.ipynb
|
|
08-02-linear-algebra.ipynb
|
|
08-03-distributions.ipynb
|
|
08-03-probability.ipynb
|
|
08-04-hypothesis-inference.ipynb
|
|
08-05-gradient-descent.ipynb
|
|
08-06-regression.ipynb
|
|
08-06-statsmodels.ipynb
|
|
08-07-analyzing-titanic-dataset.ipynb
|
|
08-07-covid19-pew-survey.ipynb
|
|
08-08-covid19-grangercausality.ipynb
|
|
08-09-survival-analysis.ipynb
|
|
08-10-dowhy-estimation-methods.ipynb
|
|
08-11-cfps-survey-analysis.ipynb
|
|
09-01-machine-learning-with-sklearn.ipynb
|
|
09-03-hyperparameters-and-model-validation.ipynb
|
|
09-04-feature-engineering.ipynb
|
|
09-05-naive-bayes.ipynb
|
|
09-06-linear-regression.ipynb
|
|
09-07-support-vector-machines.ipynb
|
|
09-08-random-forests.ipynb
|
|
09-09-googleflustudy.ipynb
|
|
09-10-future-employment.ipynb
|
|
09-11-neural-network-intro.ipynb
|
|
09-12-hand-written-digits.ipynb
|
|
09-13-cnn.ipynb
|
|
09-14-rnn.ipynb
|
|
09-15-cifar10.ipynb
|
|
09-16-pytorch_vgg_pretrained.ipynb
|
|
09-grf.ipynb
|
|
10-doc2vec.ipynb
|
|
10-text-mining-gov-report.ipynb
|
|
10-word2vec.ipynb
|
|
11-1-sentiment-analysis-with-dict.ipynb
|
|
11-2-emotion-dict.ipynb
|
|
11-3-NRC-Chinese-dict.ipynb
|
|
11-3-textblob.ipynb
|
|
11-4-sentiment-classifier.ipynb
|
|
11-5-LIWC.ipynb
|
|
11-6-moral-foundation-dict.ipynb
|
|
12-topic-models-update.ipynb
|
|
12-topic-models-with-turicreate.ipynb
|
|
13-recsys-intro-surprise.ipynb
|
|
13-recsys-intro.ipynb
|
|
13-recsys-latent-factor-model.ipynb
|
|
14-millionsong.ipynb
|
|
14-movielens.ipynb
|
|
15-network-science-intro.ipynb
|
|
16-network-science-models.ipynb
|
|
17-networkx.ipynb
|
|
18-02-network-diffusion.ipynb
|
|
18-03-network-epidemics.ipynb
|
|
18-04-seir-hcd-model.ipynb
|
|
18-network-analysis-of-tianya-bbs.ipynb
|
|
18-network-ecomplexity.ipynb
|
|
18-network-ergm-siena.ipynb
|
|
18-network-weibo-hot-search.ipynb
|
|
19-facebook-ego-netwrok-visualization.ipynb
|
|
19-visualization-datapane.ipynb
|
|
19-visualization-datashader.ipynb
|
|
19-visualization-maps-using-folium.ipynb
|
|
19-visualization-matplotlib-colormap.ipynb
|
|
19-visualization-pantheon.ipynb
|
|
19-visualization-plotly-express.ipynb
|
|
19-visualization-scientific-plot.ipynb
|
|
19-visualization-with-pyecharts.ipynb
|
|
19-visualization-with-seaborn.ipynb
|
|
index.ipynb
|
|
.DS_Store
|
|
LICENSE
|
|
NBans.html
|
|
NBeff.html
|
|
README.md
|
|
_config.yml
|
|
_toc.yml
|
|
causal_model.png
|
|
deploy.sh
|
|
example.png
|
|
helpers_05_08.py
|
|
myeff.html
|
|
references.bib
|
|
requirements.txt
|
