by saspower | Jun 6, 2024 | Data Science Online Course
Income Distribution: Income data is frequently right skewed, with a small number of people earning extremely high earnings and the bulk receiving moderate to low incomes.House Prices: Real estate prices are right-skewed, with the majority of residences being fairly...
by saspower | May 28, 2024 | Data Science Online Course
Data sets with a high mean and a low standard deviation show that the majority of values are tightly grouped around a high central value. Here are few examples:Test Scores in a Well-Prepared Class: If the majority of students score well, scoring between 90 and 95...
by saspower | May 9, 2024 | Data Science Online Course
Cleaning time series data requires multiple stages. First, identify and manage missing values by either imputing or deleting them. Then, look for and address outliers that might bias the analysis. Next, guarantee homogeneity in time intervals by interpolating or...
by saspower | Apr 1, 2024 | Data Science Online Course
Robert Tibshirani, Trevor Hastie, Daniela Witten, and Gareth James, “Introduction to Statistical Learning”. It goes over basic ideas and real-world applications of R predictive modelling.Garrett Grolemund and Hadley Wickham’s book “R for Data...
by saspower | Feb 21, 2024 | Data Science Online Course
Choosing a dataset for linear regression depends on your research question and the availability of relevant variables. Datasets with continuous dependent variables and numeric independent variables are ideal. Consider datasets like housing prices with predictors such...
by saspower | Feb 17, 2024 | Data Science Online Course
There are various approaches for identifying outliers in time series data. One typical strategy is to employ statistical approaches like the z-score or modified z-score method, in which data points that exceed a given threshold are marked as outliers. Another...
