DCP blog

Getting starter with Apache Airflow

Setting up Apache Airflow with Docker is the recommended and easiest way to get started, especially for local development. Docker isolates Airflow and its dependencies in containers, preventing conflicts with your host machine and ensuring a reproducible environment.

Data Augmentation for Text Corpus Generation: Enhancing NLP Models with Synthetic Data

Data augmentation has revolutionized various fields, especially computer vision, by artificially expanding datasets and improving model generalization. While widely adopted for image data, its application to text, particularly for corpus generation, presents unique challenges and opportunities. As a Natural Language Processing (NLP) expert, I will delve into the data augmentation techniques for text corpus generation, providing scientific backing, illustrative examples, and practical Python implementations.

How to Determine If a Dataset Is Small or Big

In the data science world, terms like “small dataset” and “big dataset” are commonly used, but surprisingly, they lack universal definitions. Determining whether a dataset is “small” or “big” depends on several contextual factors: the analytical task, the computing environment, and even the underlying structure of the data.

Descriptive Analysis: A Comprehensive Guide

Descriptive analysis is a fundamental aspect of data analysis, focused on summarizing historical data to better understand what has happened. It involves organizing, visualizing, and summarizing data in meaningful ways.

Measures of dispersion

Measures of dispersion quantify how much data values vary or spread out. Understanding dispersion helps you grasp the reliability, consistency, and variability of data.

Data Science

Getting starter with Apache Airflow

Data Augmentation for Text Corpus Generation: Enhancing NLP Models with Synthetic Data

How to Determine If a Dataset Is Small or Big

Descriptive Analysis: A Comprehensive Guide

Measures of dispersion