PinnedSandhya KrishnanCovariance and Its Major FlawsCovariance measures the strength of the linear relationship between two variables. That is how much one variable goes up(down) when the…Oct 29, 20221Oct 29, 20221
PinnedSandhya KrishnaninGeek CultureDoes Cleaned Data guarantee high Data Quality?The direct answer to the “Does Cleaned Data guarantee high Data Quality?” is a big NO and Never. This article covers data quality…Oct 19, 2022Oct 19, 2022
PinnedSandhya KrishnaninCodeXSimple Moving Average and Exponentially Weighted Moving Average with PandasA trend is a pattern, which shows the movement of data with respect to time. It can be measured by using Freehand Graphical Method, Method…Nov 13, 2021Nov 13, 2021
Sandhya KrishnanOptimize code in python using *args and **kwargsPython offers the flexibility of passing a variable number of arguments to a function using *argsand **kwargs.Apr 1, 2023Apr 1, 2023
Sandhya KrishnanDictionary Manipulation in PythonA dictionary is a collection of key-value pairs, where each key is unique and mapped to a corresponding value. Dictionaries are denoted by…Mar 29, 2023Mar 29, 2023
Sandhya KrishnaninGeek CultureList Comprehension and Dictionary ComprehensionList comprehensionMar 24, 2023Mar 24, 2023
Sandhya KrishnaninGeek CultureList Manipulation in PythonIn python, there are several built-in data types to store collections of data. These include List, Tuples, Sets, Dictionary, Array, and…Mar 21, 2023Mar 21, 2023
Sandhya KrishnanWhy is Adjusted R-Squared preferred over R-Squared?R-Squared explains the linear relationship between the independent variables and the dependent variable, which is the sum of squared errors…Dec 20, 20221Dec 20, 20221
Sandhya KrishnanWhat Changed from 2021 to 2022 in ML and DS? — Kaggle SurveyThis blog explains what changes are there in Data Science and Machine Learning with respect to Kaggle Survey 2022 especially considering…Nov 24, 20221Nov 24, 20221
Sandhya KrishnanImportance of Chebyshev’s TheoremThe Empirical Rule, or the 68–95–99.7 rule, can be used only for normal distribution.Nov 9, 2022Nov 9, 2022