Automate PDF generation with the FPDF library as part of your data analysis — Once you are done with your data analysis, you need to think about how to communicate the results. One part of that communication is to decide in which file format you will provide your data analysis report. I’m sure most stakeholders would prefer a PDF file over an iPython Notebook. …

Fundamental concepts around time series analysis and time series forecasting, including everything from classical approaches to modern machine learning models with examples in Python — This article was originally published on the Weights & Biases’ blog “Fully Connected” on October 12th, 2022. What would you do if you knew what the future would look like? That answer might be “buying bitcoin in 2017” for some people. Or for retailers, that answer could be “stocking up…

A data visualization technique for 2-dimensional time series data using imageio — We all know that line plots are the most intuitive way to visualize a time series. But how would you visualize a time series with two features that have a relationship, like x and y coordinates or longitude and latitude? GIFs are a great way to visualize 2-dimensional time series…

How to manipulate and visualize time series data in datetime format with ease — Working with time series data can be intimidating at first. The time series values are not the only information you have to consider. The timestamps also contain information, especially about the relationship between the values. The timestamps also contain information, especially about the relationship between the values.

Adjust the colors and figure size and add titles and labels to SHAP plots — SHAP (SHapley Additive exPlanations) is a popular approach to model explainability. The shap Python package enables you to quickly create a variety of different plots out of the box. Its distinctive blue and magenta colors make the plots immediately recognizable as SHAP plots. Unfortunately, the Python package default color palette…

Master the Binary Search algorithm in 8 minutes — How would you look up a word in an English dictionary? I know how you wouldn’t do it: Start at the first page and go through every word until you find the one you were looking for — unless your word is “aardvark,” of course. …

Learn these prompt engineering tricks before you waste your free trial credits — If you have already played around with a text-to-image generative model, you know how difficult it is to produce an image you like. With the release of Stable Diffusion, Midjourney, and DALL·E2, people have been saying that prompt engineering could become a new profession. Because DALL·E2, the Midjourney Discord server…

How to perform Exploratory Data Analysis on text data for Natural Language Processing — Exploratory Data Analysis (EDA) for text data is more than counting characters and terms. To take your EDA to the next level, you can look at each word and categorize it or you can analyze the overall sentiment of a text. Exploratory Data Analysis for text data is more than…

A non-technical comparison of DALL·E2, Midjourney, and Stable Diffusion — If you haven’t been living under a rock, you have probably seen images generated by Artificial Intelligence (AI) popping up everywhere. These images are usually generated with a “text to image” generation model. That means, you enter a text description (“prompt”) and within a couple of minutes the model generates…