Whispers from the digital wind, hang tight..
An introduction to performing outlier detection with the Local Outlier Factor (LOF) algorithm. Continue reading on Towards Data Science »
Generate flawless documentation of Python code using Sphinx Photo by Dustin Humes on UnsplashYou can build beautiful, standardised and stylised documentation using just the docstrings in a few simple steps. A Data Scientist holds many responsibilities when working on a project, and one
How to ship containerized applications on a serverless architecture and over a CICD pipeline. Continue reading on Towards Data Science »
Seamless Integration of Python, Pandas, and LLM Continue reading on Towards Data Science »
This article is the second in a series about cleaning data using Large Language Models (LLMs), with a focus on identifying errors in tabular data sets. The sketch outlines the methodology we’ll explore in this article, which focuses on evaluating the
This post proposes a Python setup for entity type prediction on heterogenous graphs, using the Relational Graph Convolutional Network (R-GCN). The setup uses the RGCNConv module from PyTorch. The code discussed in this post can be found on GitHub. Before
Understanding users’ needs and pain points is a critical component of business success. Churn surveys, a specific type of survey designed for customers who have stopped using a service, are a treasure trove of customer insights. However, the true power
What I wish I knew before I started my first data science job Continue reading on Towards Data Science »
Implementation details and analytical possibilities Photo by Dominik Lückmann on Unsplash At the end of the first week of March 2024, the news revealed that Brazil’s GDP grew by almost 3% in 2023 compared to the previous year, reaching a total
Using Diffusion to generate images You must have heard of Dall-E 2. Published by Open AI, which is a model that generates realistic looking images from a given text prompt. You can check out a smaller version of the model here. Ever
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