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Representation of a whole set of data in a single value is Average. Generally, this tends to be the calculated central value of distribution
In this article we will try to understand the concept of hypothesis and its types Null and alternative hypothesis and making decisions .
Discover descriptive statistics & its types. Learn about central tendency, data dispersion, and how to analyze univariate vs. bivariate data.
In this article, we will see how to perform room occupancy detection using environmental variables data with machine learning algorithms.
Learn how the Augmented Dickey-Fuller and KPSS tests can help you analyze stationarity in time series data. Improve your forecasting model.
In this blog, we will be implementing one of the most basic algorithms in machine learning i.e Simple Linear Regression in python. Explore ML Today!
An estimator is a statistic that does not depend upon the true parameter. It’s a statistic/estimation, means, it’s a measurable function of the sample
In this blog, we will see introductory statistics for Data science. let's see some basic statistical concepts and where they will be used.
Learn the Chi-Square Test to find correlations b/w categorical variables in Python, including implementation and visualization techniques.
Exploratory data analysis is an approach to analyzing data to summarize their main characteristics, often using statistical graphics.
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