Participants are expected to have a degree in economics, statistics, data science or equivalent experience. Working knowledge of advanced programming languages such as Python and R is strongly ...

Love Data Week is an international celebration held each year during Valentine’s Day week to promote good data practices and encourage collaboration around data management, sharing, preservation, and ...

If VS Code freezes on open, the notebook is often too heavy to render because outputs are saved inside the .ipynb (dataframes, logs, plots, HTML). Clearing outputs reduces the file to cells only, ...

A comprehensive machine learning project for classifying images of fruits and vegetables using Convolutional Neural Networks (CNNs). This project includes both a training pipeline and a web ...

I am having trouble running Python and R in the same .qmd file. I know that quarto can only use 1 engine at a time. It either executes Python using replicate in R and renders with knitr or it executes ...

This workshop is aimed at country officials from national statistics offices (NSOs) and central banks who are seeking to acquire the knowledge and skills necessary to leverage Big Data and advanced ...

Soon to be the official tool for managing Python installations on Windows, the new Python Installation Manager picks up where the ‘py’ launcher left off. Python is a first-class citizen on Microsoft ...

Abstract: Research in Bengali Natural Language Processing (BNLP) is rapidly expanding. Despite being one of the most widely spoken languages in the world, BNLP research remains insufficient, ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

Abstract: Data preprocessing is a crucial phase in the data science and machine learning pipeline, often demanding significant time and expertise. This step is vital for enhancing data quality by ...

According to DeepLearning.AI, Course 4 of the Data Analytics Professional Certificate focuses on Data I/O and Preprocessing with Python to address the challenges of real-world, messy, and incomplete ...