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\nPractical Data Science using Python - Binomial Theory - Expected Value and Standard Error\n

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\nThis video explains the Binomial Theory - expected value and standard error. This clip is from the chapter \"Statistical Techniques\" of the series \"Practical Data Science Using Python\".This section explains advanced visualizations using...\nThis video explains the Binomial Theory - expected value and standard error.

This clip is from the chapter \"Statistical Techniques\" of the series \"Practical Data Science Using Python\".This section explains advanced visualizations using business applications.\n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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18:31
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Grade
Higher Ed
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Subjects
Math
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Media Type
Instructional Videos
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Source:
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\nPackt - Data\n\n
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Date
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2022
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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addition rule, standard error, binomial coefficient, balls, data science, bias
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Additional Tags

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machine learning, analytics, matplotlib, python, eda, variance and overfitting, performance metrics, model evaluation, model optimization, regression models, clustering models, chance process, individual probability, red ball, green ball, mutually exclusive, spotted side, apparel item, electronic item, standard data, winning prize, cumulative outcome, events occurring, binomial formula, small number, factorial multiplied, customer buying, problem statement, total number, ball, winning, total, 2 balls, outcome, formula, buying, process
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Classroom Considerations

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Best For: Explaining a topic
Video is ad-free
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Educator Ratings

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\n\" data-title=\"Get Full Access\" data-container=\"body\" rel=\"popover\" tabindex=\"0\" aria-label=\"Play video: Practical Data Science using Python - Binomial Theory - Expected Value and Standard Error\" href=\"/subscription/new\">\"Practical\n\n
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