Roshmita DeySimplify Your Data Cleaning with PyjanitorData cleaning is a crucial step in any data science project. It ensures that the data you’re working with is accurate, consistent, and…Jul 1Jul 1
Roshmita DeyOptimizing PySpark for Handling Large Volumes of DataHandling large volumes of data efficiently is crucial in big data processing. PySpark, an interface for Apache Spark in Python, offers…Jun 19Jun 19
Roshmita DeyWindow Functions in PySparkWindow functions are a powerful tool in PySpark that allow you to perform calculations across rows within a specified window or group of…Mar 29Mar 29
Roshmita DeyLeetCode Problems for your next DS interview (Part 1)When you are preparing for Data Science interviews for MAANG companies or the companies like Goldman Sachs, being well versed in coding and…Mar 29Mar 29
Roshmita DeyCommon Table Expressions (CTE) in SQLCommon Table Expressions (CTEs) are a powerful feature in SQL that allow you to define temporary result sets that can be used within a…Mar 27Mar 27
Roshmita DeyFeature Engineering in PySpark: Techniques for Data Transformation and Model ImprovementFeature engineering plays a crucial role in data analysis and machine learning tasks. It involves creating new features or transforming…Mar 22Mar 22
Roshmita DeyUnderstanding Different Sampling Techniques in StatisticsSampling is a crucial aspect of statistical analysis, as it involves selecting a subset of individuals or elements from a larger population…Mar 20Mar 20
Roshmita DeyA Comprehensive Guide to Linear Regression in PySparkLinear regression is a fundamental technique in machine learning and statistics used for predicting a continuous outcome variable based on…Mar 10Mar 10
