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  1. 1
    Learn about paired samples t-test in SPSS with data from the World Bank Open Data (2016) /

    Learn about paired samples t-test in SPSS with data from the World Bank Open Data (2016) / by Shi, Feng, active 2019

    Published 2019
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  2. 2
    Learn about time series plot in SPSS with data from EPA's Air Quality System Data Mart (2017) /

    Learn about time series plot in SPSS with data from EPA's Air Quality System Data Mart (2017) / by Shi, Feng, active 2019

    Published 2019
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  3. 3
    Learn about network modularity in R with data from Zachary's karate club (1977) /

    Learn about network modularity in R with data from Zachary's karate club (1977) / by Shi, Feng, active 2019

    Published 2019
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  4. 4
    Learn about convolutional neural networks in Python with data from the MNIST dataset (1998) /

    Learn about convolutional neural networks in Python with data from the MNIST dataset (1998) / by Shi, Feng, active 2019

    Published 2019
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  5. 5
    Learn about term frequency-inverse document frequency in text analysis in R with data from How ISIS uses Twitter dataset (2016) /

    Learn about term frequency-inverse document frequency in text analysis in R with data from How ISIS uses Twitter dataset (2016) / by Shi, Feng, active 2019

    Published 2019
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  6. 6
    Introduction to network analysis in R with data from the Florentine family dataset (1994) /

    Introduction to network analysis in R with data from the Florentine family dataset (1994) / by Shi, Feng, active 2019

    Published 2019
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  7. 7
    Learn about dictionary-based sentiment analysis in R with data from the Economic News Article Tone dataset (2016) /

    Learn about dictionary-based sentiment analysis in R with data from the Economic News Article Tone dataset (2016) / by Shi, Feng, active 2019

    Published 2019
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  8. 8
    Learn about the generalized autoregressive conditional heteroskedasticity (GARCH) model in R with data from the DJIA 30 stock time series (2018) /

    Learn about the generalized autoregressive conditional heteroskedasticity (GARCH) model in R with data from the DJIA 30 stock time series (2018) / by Shi, Feng, active 2019

    Published 2019
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  9. 9
    Learn about classification tree in Python with data from the Adult Census Income dataset (1996) /

    Learn about classification tree in Python with data from the Adult Census Income dataset (1996) / by Shi, Feng, active 2019

    Published 2019
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  10. 10
    Learn about configuration models in R with data from the Florentine family dataset (1994) /

    Learn about configuration models in R with data from the Florentine family dataset (1994) / by Shi, Feng, active 2019

    Published 2019
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  11. 11
    Learn about encodings in R with data from How ISIS uses Twitter dataset (2016) /

    Learn about encodings in R with data from How ISIS uses Twitter dataset (2016) / by Shi, Feng, active 2019

    Published 2019
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  12. 12
    Learn about regular expressions in R with data from How ISIS uses Twitter dataset (2016) /

    Learn about regular expressions in R with data from How ISIS uses Twitter dataset (2016) / by Shi, Feng, active 2019

    Published 2019
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  13. 13
    Learn about assortativity coefficient in R with data from UK faculty dataset (2008) /

    Learn about assortativity coefficient in R with data from UK faculty dataset (2008) / by Shi, Feng, active 2019

    Published 2019
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  14. 14
    Learn about PageRank in R with data from the Florentine family dataset (1994) /

    Learn about PageRank in R with data from the Florentine family dataset (1994) / by Shi, Feng, active 2019

    Published 2019
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  15. 15
    Learn about consensus clustering in R with data from Zachary's karate club (1977) /

    Learn about consensus clustering in R with data from Zachary's karate club (1977) / by Shi, Feng, active 2019

    Published 2019
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  16. 16
    Learn about the poisson process in R with data from the DJIA 30 stock time series (2018) /

    Learn about the poisson process in R with data from the DJIA 30 stock time series (2018) / by Shi, Feng, active 2019

    Published 2019
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  17. 17
    Learn about the Erdos-Renyi random network in R with data from the Florentine family dataset (1994) /

    Learn about the Erdos-Renyi random network in R with data from the Florentine family dataset (1994) / by Shi, Feng, active 2019

    Published 2019
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  18. 18
    Learn about latent dirichlet allocation in Python with data from the News Articles dataset (2016) /

    Learn about latent dirichlet allocation in Python with data from the News Articles dataset (2016) / by Shi, Feng, active 2019

    Published 2019
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  19. 19
    Learn about support vector machine in Python with data from the Adult Census Income dataset (1996) /

    Learn about support vector machine in Python with data from the Adult Census Income dataset (1996) / by Shi, Feng, active 2019

    Published 2019
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  20. 20
    Learn about betweenness in R with data from the Florentine family dataset (1994) /

    Learn about betweenness in R with data from the Florentine family dataset (1994) / by Shi, Feng, active 2019

    Published 2019
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