Nonlinear Regression Analysis in R
Nonlinear Regression Analysis in R, when at least one of the parameters in a regression appears to be nonlinear, it is called nonlinear regression. It is often used to sort and analyze data from...
Tagged: statistics
Common Misconceptions About Machine Learning
Common Misconceptions About Machine Learning, what is the relationship between machine learning and statistics? Are they distinct fields in their own right? What role do statistics play in machine learning? Is the meteoric ascent...
Kappa Coefficient Interpretation Guide
The kappa coefficient, which is used to determine inter-rater reliability or agreement, is explained in this article. The magnitude of kappa is frequently more important in most applications than the statistical significance of kappa....
Clustering Example Step-by-Step Methods in R
Clustering Example Step-by-Step Methods in R, This post will walk you through a k-means clustering example and provide a step-by-step method for conducting a cluster analysis on a real data set using R software....
Importance of Quartiles in Statistics for Data Science
Importance of Quartiles in Statistics, Data science is ranked as the third-highest demanded profession globally, which is certainly not bad at all. Millions of students aspire to become data scientists, but honestly, it takes...
How to Become a Data Science Master? Data Science Tutorial
Data Science Master, Are you one of the many people who keep hearing about Data Science, is interested in learning more, and are ready to dive into the realm of Data Science but don’t...
How to Interpret a Standard Deviation of Zero?
How to Interpret a Standard Deviation of Zero?, The standard deviation is a statistic that measures the spread of values in a sample. The standard deviation of a sample can be calculated using the...
Subsetting with multiple conditions in R
Subsetting with multiple conditions in R, The filter() method in the dplyr package can be used to filter with many conditions in R. With an example, let’s look at how to apply a filter...
How to interpret Margin of Error Results?
How to interpret Margin of Error Results, In statistics, the margin of error is used to determine how accurate a population proportion or population mean estimate is. When constructing confidence intervals for population parameters,...
Best Books For Deep Learning
Best Books For Deep Learning, are you seeking resources for deep learning? If so, we’ve compiled a list of the top deep learning books for you. What is Deep learning? Deep Learning is a...
