These are the sources and citations used to research https://towardsdatascience.com/understanding-the-68-95-99-7-rule-for-a-normal-distribution-b7b7cbf760c2. This bibliography was generated on Cite This For Me on

  • Website

    Brownlee, J.

    SMOTE for Imbalanced Classification with Python

    2020 - Machine Learning Mastery

    In-text: (Brownlee, 2020)

    Your Bibliography: Brownlee, J., 2020. SMOTE for Imbalanced Classification with Python. [online] Machine Learning Mastery. Available at: <https://machinelearningmastery.com/smote-oversampling-for-imbalanced-classification/> [Accessed 13 December 2021].

  • Website

    Anon

    2021

    In-text: (2021)

    Your Bibliography: Conjointly.com. 2021. [online] Available at: <https://conjointly.com/kb/descriptive-statistics/> [Accessed 12 December 2021].

  • Website

    Univariate analysis - Wikipedia

    2021

    In-text: (Univariate analysis - Wikipedia, 2021)

    Your Bibliography: En.wikipedia.org. 2021. Univariate analysis - Wikipedia. [online] Available at: <https://en.wikipedia.org/wiki/Univariate_analysis> [Accessed 12 December 2021].

  • Journal

    Data Preprocessing for Supervised Learning

    2006 - INTERNATIONAL JOURNAL OF COMPUTER SCIENCE

    In-text: (Data Preprocessing for Supervised Learning, 2006)

    Your Bibliography: INTERNATIONAL JOURNAL OF COMPUTER SCIENCE, 2006. Data Preprocessing for Supervised Learning. 1(1), pp.1306-4428.

  • Website

    HR Analytics: Employee Promotion Data

    2021

    In-text: (HR Analytics: Employee Promotion Data, 2021)

    Your Bibliography: Kaggle.com. 2021. HR Analytics: Employee Promotion Data. [online] Available at: <https://www.kaggle.com/arashnic/hr-ana> [Accessed 13 December 2021].

  • Website

    Mathata, J.

    activity sampling

    2021

    In-text: (Mathata, 2021)

    Your Bibliography: Mathata, J., 2021. activity sampling. [online] Academia.edu. Available at: <https://www.academia.edu/29063808/activity_sampling> [Accessed 8 December 2021].

  • Website

    Explaining the 68-95-99.7 rule for a Normal Distribution

    2021

    In-text: (Explaining the 68-95-99.7 rule for a Normal Distribution, 2021)

    Your Bibliography: Medium. 2021. Explaining the 68-95-99.7 rule for a Normal Distribution. [online] Available at: <https://towardsdatascience.com/understanding-the-68-95-99-7-rule-for-a-normal-distribution-b7b7cbf760c2> [Accessed 8 December 2021].

  • Website

    sklearn.preprocessing.OneHotEncoder

    2021

    In-text: (sklearn.preprocessing.OneHotEncoder, 2021)

    Your Bibliography: scikit-learn. 2021. sklearn.preprocessing.OneHotEncoder. [online] Available at: <https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html> [Accessed 13 December 2021].

  • Website

    What is Cramér’s V statistic?

    2021

    In-text: (What is Cramér’s V statistic?, 2021)

    Your Bibliography: Statistical Odds & Ends. 2021. What is Cramér’s V statistic?. [online] Available at: <https://statisticaloddsandends.wordpress.com/2020/02/22/what-is-cramers-v-statistic/> [Accessed 13 December 2021].

  • Website

    Mean, Mode and Median - Measures of Central Tendency - When to use with Different Types of Variable and Skewed Distributions | Laerd Statistics

    2021

    In-text: (Mean, Mode and Median - Measures of Central Tendency - When to use with Different Types of Variable and Skewed Distributions | Laerd Statistics, 2021)

    Your Bibliography: Statistics.laerd.com. 2021. Mean, Mode and Median - Measures of Central Tendency - When to use with Different Types of Variable and Skewed Distributions | Laerd Statistics. [online] Available at: <https://statistics.laerd.com/statistical-guides/measures-central-tendency-mean-mode-median.php> [Accessed 12 December 2021].

  • Journal

    Varoquaux, G., Buitinck, L., Louppe, G., Grisel, O., Pedregosa, F. and Mueller, A.

    Scikit-learn

    2015 - GetMobile: Mobile Computing and Communications

    In-text: (Varoquaux et al., 2015)

    Your Bibliography: Varoquaux, G., Buitinck, L., Louppe, G., Grisel, O., Pedregosa, F. and Mueller, A., 2015. Scikit-learn. GetMobile: Mobile Computing and Communications, 19(1), pp.29-33.

  • Website

    XinHai, L.

    Using "random forest" for classification and regression.

    2013 - Institute of Zoology

    In-text: (XinHai, 2013)

    Your Bibliography: XinHai, L., 2013. Using "random forest" for classification and regression.. [online] Cabdirect.org. Available at: <https://www.cabdirect.org/cabdirect/abstract/20133388344> [Accessed 13 December 2021].

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