Data partitioning is a database optimization technique that involves dividing large tables into smaller, more manageable parts called partitions. Each partition contains a subset of the table data and is…
SSIS, or SQL Server Integration Services, is a data integration tool that allows you to extract data from various sources, transform it as needed, and load it into a target…
Azure also provides a range of services that can be used to implement a data warehousing solution. Here are some best practices to consider when implementing a data warehousing solution…
Data warehousing using AWS technologies involves a range of services that work together to provide a scalable, secure, and cost-effective solution for storing and analyzing large amounts of data. Here…
Data warehousing refers to the process of collecting, managing, and storing large amounts of data from various sources to support business decision-making. A data warehouse is a centralized repository that…
Data augmentation is the process of artificially increasing the size of a dataset by creating modified or transformed versions of the original data. This technique is commonly used in machine…
Here’s an example Python code for Back Translation of a sample dataset using the googletrans library: from googletrans import Translator import random translator = Translator() def back_translate(sentence, lang): “”” Translates…
If you’re getting a ModuleNotFoundError: No module named ‘googletrans’ error message, it means that the googletrans library is not installed in your Python environment. To install the library, you can…
There are several data augmentation techniques suitable for text data that you can try besides back-translation. Here are some examples: Here’s an example code that implements these data augmentation techniques:
If you have a csv file with data in few columns and few rows and you want to generate a bigger dataset using some data augmentation technique, Back Translation is…