So much of life, it seems to me, is determined by pure randomness.
— Sidney Poitier On-the-fly data augmentation is a practice which applies random noise to data at the time of loading. This allows for a significant increase in the effective size of your dataset, as each piece of data ... [...Read more...]
I recently did a great talk at Leeds Data Science, where I presented how to fine tune a Stable Diffusion model, using Google’s Dreambooth method, to fine tune the model to create interesting image concepts for generation. This was well received (see: https://www.linkedin.com/posts/jumping-rivers-ltd_meetup-datascience-imagerecognition-activity-7067151517916549120...
Wanna become a data scientist within 3 months, and get a guaranteed job? Then you need to check this out ! Figure 1 Image Source: Blue Willow AI In today’s data-driven world, effective data visualization is more important than ever. Choropleth mapping is a powerful technique that can help you unlock insights ...
Figure 1 Image Source: Blue Willow AI In today’s data-driven world, effective data visualization is more important than ever. Choropleth mapping is a powerful technique that can help you unlock insights and communicate complex information in an intuitive way. In this article, we will explore the power of choropleth Read ...
Excel’s popularity is attributed to its user-friendly data formatting and presentation features. Although Python offers distinct advantages for Excel, its raw data output is often unsuitable for business purposes. The following notebook demonstrates how to create a calculated percentage column in pandas and format the results in an Excel ... [...Read more...]
Excel’s popularity stems from its user-friendly data formatting and presentation capabilities. Take, for example, the nuisance of narrow columns. Resolving this issue in Excel is as simple as selecting the affected columns and double-clicking on any one of them: Python does present unique strengths to Excel, but visual formatting ...
In an earlier post I provided an overview of how to use the pandas and openpyxl packages together to automate the production of Excel workbooks. In that post, I likened pandas as the “Power Query of Python,” highlighting its role in cleaning and transforming tabular data. Readers might question the ...
Wanna become a data scientist within 3 months, and get a guaranteed job? Then you need to check this out ! Data, in today’s digital age, is extremely valuable. In fact, it’s no secret that businesses, organizations, and individuals rely heavily on data to make informed decisions and operate efficiently. ...
Data, in today’s digital age, is extremely valuable. In fact, it’s no secret that businesses, organizations, and individuals rely heavily on data to make informed decisions and operate efficiently. But with the vast amount of data being generated every day, it’s becoming increasingly difficult to identify and ...