What are the different ways to handle missing data and invalid data in a dataset?
Ignore the data row1. This is a quick solution and typically is preferred in cases where the percentage of missing
What do you mean by Law of transformation of Skewed Variables?
Different features in the data set may have values in different ranges. For example, in an employee data set, the
What do you mean by Noise in given Dataset and How can you remove Noise in Dataset?
Noise is unwanted data items, features or records which don’t help in explaining the feature itself, or the relationship between
What do you mean by independent and Dependent Variables?
An independent variable is a variable that represents a quantity that is being used in an experiment. The independent variable (sometimes known
What are the differences between Labelled and Unlabelled Data?
Labeled data is a group of samples that have been marked with one or more labels. Labeling typically takes a set of unlabeled
What do you mean by Features and Labels in a Dataset?
Feature Features are individual independent variables which acts as the input in the system. Prediction models uses these features to make
What are the differences between Data Processing, Data Preprocessing and Data Wrangling?
Data Processing Data Processing is a mission of converting data from a given form to a more usable and desired form.
What is Data wrangling? What are the different steps involved in it?
Data Wrangling is the process of converting and mapping data from its raw form to another format with the purpose of making it
Artificial intelligence is on par with human experts in medical diagnosis
Today Artificial Intelligence is equivalent to human experts when it comes to making image-based medical diagnoses. Researchers say that it
What do you mean by the terms Skewed Data, Outliers, Missing Values and Null Values?
Skewed data The distribution of the data which is not symmetric is called Skewed data. Skewed Data has one of its