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From Dirty Customer Data to AI Analysis with Python on Raspberry Pi
We'll start with another dirty customer dataset, clean it with Pandas, save the results for both people and software, and then send the cleaned records to an AI model for an evaluation of the data.
Cleaning Dirty Customer Data with Python and Pandas on Raspberry Pi
For this example, we'll work entirely from the Linux terminal using Python and Pandas. We'll start with a simple CSV file containing customer names, cities, and ages.
From Raspberry Pi Sensor Data to AI Analysis with Python
In our last example, Python and Pandas turned messy temperature readings into clean CSV and JSON files. This time we'll take the idea one step further.
Cleaning Dirty Raspberry Pi Sensor Data with Python and Pandas
Sensor data rarely arrives perfectly clean.
List Comprehension vs. map() in Python
This isn’t about dogma. It’s about knowing what each tool does and choosing the right one for the job.
