“If it’s true what is said, that only the wise discover the wise, then it must also be true that the lone wolf symbolizes either the biggest fool on the planet or the biggest Einstein on the planet.” ― Criss Jami, Diotima, Battery, Electric Personality What is Hypothesis?It is a premise or claim that we want to …
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What is ‘Kernel Density Estimation’ (KDE) ?
In statistics, kernel density estimation (KDE) is a non-parametric way to estimate the probability density function (PDF) of a random variable. Kernel density estimation is a fundamental data smoothing problem where inferences about the population are made, based on a finite data sample. Kernel density estimation is a really useful statistical tool with an intimidating name. Often shortened to KDE, …
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Understanding the function -Pandas.DataFrame.describe
Understanding the function -Pandas.DataFrame.describe
What does .describe do? It generates descriptive statistics that summarize the central tendency, dispersion and shape of a dataset’s distribution, excluding NaN values. Parameters: Percentiles : The percentiles to include in the output. All should fall between 0 and 1. The default is [.25, .5, .75], which returns the 25th, 50th, and 75th percentiles. Now, some of you …
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Harjot Singh 