How to detect outliers in data
· Data Science
Discover statistical and visual methods to detect outliers including IQR, z-scores, and box plots.
Category: Data Science
40 questions in Data Science.
How to use groupby for aggregations
· Data Science
Learn groupby operations to compute aggregations, transformations, and custom summary statistics efficiently.
How to filter and slice DataFrames
· Data Science
Master DataFrame filtering and slicing using loc, iloc, boolean indexing, and query methods in pandas.
How to reshape data with melt and pivot
· Data Science
Understand melt and pivot operations to reshape data between wide and long formats for analysis needs.
How to work with large CSV files efficiently
· Data Science
Learn memory-efficient techniques for processing large CSV files including chunking and dtype optimization.
How to transform data types in pandas
· Data Science
Explore pandas methods to convert strings to dates, objects to categories, and other data type transformations.
How to remove duplicate records from data
· Data Science
Learn how to identify and remove duplicate records to maintain data quality and avoid analysis errors.
How to merge multiple datasets in pandas
· Data Science
Understand merge, join, and concatenate operations to combine multiple datasets effectively using pandas.
How to handle missing values in a dataset
· Data Science
Discover strategies for handling missing values including deletion, mean imputation, and advanced predictive methods.
How to clean messy data with pandas
· Data Science
Learn pandas techniques to clean messy datasets including handling inconsistent formats, typos, and structural issues.