A Data Science Enthusiast and loves to work on Data Science Projects! Willing to solve complex business problems using data science with help of the right application of Statistical Tests & applications using Python & R! Along with this, an understanding of the business Input-Output models and domain expertise also plays an important role.
This article explains you how to detect and isolate time series components using python for doing time series forecasting.
In this article, learn about correlation, that i statistics intended to quantify the strength of the relationship between two variables.
Outliers are values that seem excessively different from most of the rest of the values in the given dataset.
In this article, you will understand the importance of skewness, kurtosis and co-efficient of variation in data science.
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