Learn the best ways to clean data in SQL for machine learning, such as handling missing values, removing duplicates, treating outliers, and standardizing values.

Prevent duplicates before they happen by combining a simple function with data validation. Excel has built-in tools to expose and even delete duplicates, but they work on existing data after the fact.

DATA CLEANING IN MYSQL - LAYOFFS DATASET This is my first MySQL project, where I performed data cleaning on a dataset related to layoffs. The project focuses on preparing a clean and structured ...

How to correct duplicate row data in Entity Framework and LINQ for .NET Twice in the past couple of months I’ve gotten tripped up by the same data issue when using LINQ to Entities in the .NET ...

A SQL-based data cleaning project on messy customer support logs. Tasks included handling missing values, standardizing text and dates, removing duplicates, and preparing the dataset for analysis.