Pluralsight - Foundations of Statistics and Probability for Machine Learning

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Files Included :

01 Course Overview.mp4 (3.06 MB)
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02 Prerequisites and Course Outline.mp4 (3.62 MB)
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03 Descriptive Statistics to Understand Data.mp4 (5.34 MB)
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04 Measures of Frequency and Central Tendency.mp4 (9.29 MB)
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05 Measures of Dispersion.mp4 (5.37 MB)
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06 Demo-Measures of Central Tendency.mp4 (8.86 MB)
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07 Demo-Measures of Dispersion.mp4 (7.02 MB)
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08 Probability and the Gaussian Normal Distribution.mp4 (5.62 MB)
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09 Demo-Probability.mp4 (4.9 MB)
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10 Demo-Normal Distribution.mp4 (7.88 MB)
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11 Skewness and Kurtosis.mp4 (6.61 MB)
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12 Demo-Skewness and Kurtosis.mp4 (12.94 MB)
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13 Steps in Hypothesis Testing.mp4 (10.09 MB)
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14 Hypothesis Testing-Lady Tasting Tea.mp4 (5.98 MB)
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15 Type I and Type II Errors.mp4 (6.89 MB)
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16 Introducing t-tests.mp4 (6.75 MB)
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17 Types of t-tests.mp4 (8.53 MB)
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18 Demo-Two Sample t-test Part I.mp4 (12.04 MB)
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19 Demo-Two Sample t-test Part II.mp4 (4.68 MB)
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20 Demo-Paired Samples t-test.mp4 (13.28 MB)
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21 Connecting the Dots with Linear Regression.mp4 (9.35 MB)
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22 Setting up the Regression Problem.mp4 (6.38 MB)
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23 Interpreting the Results of Regression.mp4 (5.74 MB)
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24 Demo-Exploring the Dataset.mp4 (4.94 MB)
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25 Demo-Regression Analysis Using a Single Predictor.mp4 (13.48 MB)
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26 Demo-Preprocessing Data for Multiple Regression.mp4 (11.82 MB)
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27 Demo-Regression Analysis Using Multiple Predictors.mp4 (9.48 MB)
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28 Summary and Further Study.mp4 (1.66 MB)
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