Tag: VerbaGPT
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Report Generation
In this example we use VerbaGPT to create and compare a neural network model to linear regression while using the famous Abalone dataset . We then ask it to generate a report for us. Video: User question: Give me a neural network and a linear regression model to predict rings. Compare their performance. VerbaGPT response:…
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Neural Network
In this example we use VerbaGPT to create and compare a neural network model to linear regression while using the famous Abalone dataset . Video: User question: apply a neural network approach to predict rings. Give me the r2 and compare it to a linear regression approach VerbaGPT response: Cost of query: $0.00* * Using…
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Create a Histogram
In this example we ask VerbaGPT to produce a plot. We use a comma-separate-value (csv) data source, and use the well known “Abalone” dataset . This dataset has a column called Rings, which is a proxy for the age of Aabalones (a type of mollusk). Video: User question: give me a histogram for rings, color…
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Multi-Join Query
In this example we use VerbaGPT to get a semi-complex query involving multiple joins using the Chinook dataset. Video: User question: what are the top 3 selling genre in chinook data? VerbaGPT response: Cost of query: $0.00* * Using open-source llama4-maverick model from OpenRouter VerbaGPT answers the question correctly. The query seems innocuous enough, but…
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Advanced Charting
In this example we use VerbaGPT to get an advanced charting technique while using the famous Chinook dataset. Video: User question: from the chinook db, can you plot the number of customers by country on a map, and color code it by number of customers (white for few, and green for more)? VerbaGPT response: Cost…
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Conditional Count
In this example we use VerbaGPT to get a conditional count of the target variable from the famous abalone dataset. Video: Coming soon… User question: For the Abalone dataset, give me the count of Rings > 10. VerbaGPT response: Cost of query: $0.00* * Using open-source llama4-maverick model from OpenRouter Count of Rings > 10:…
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Polymodeling
In this example we use VerbaGPT to create multiple models to predict the progression of diabetes from the famous diabetes dataset. Video: User question: Give me 3 best models to predict the iris flower. Please rank their performance, and include confusion matrix as at least one measure of performance. VerbaGPT response: Cost of query: $0.00*…
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Complex Classification
In a previous post, we asked VerbaGPT to build a classification model for us. In this example we use VerbaGPT to classify the type of Iris flower from the famous iris dataset. However, we challenge it further by asking for not one but 3 models, and giving us a confusion matrix as the measure of…
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Classification: Iris
In this example we use VerbaGPT to classify the type of Iris flower from the famous iris dataset. Video: User question: Give me a model to classify the iris flower. Give me the confusion matrix as a performance metric. VerbaGPT response: Cost of query: $0.00* * Using open-source llama4-maverick model from OpenRouter [[50 0 0]…
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Climate Data
In this example we use VerbaGPT to analyze some climate data. We use publicly available data from IMF. Video: Coming soon… We start by asking a simple data question. User question: Give me the temperature change in USA for 2015. VerbaGPT response: Cost of query: $0.00 Temperature change in USA for 2015: 1.531 Nice, clean…