Machine Learning with Python

✂️ CSV Trimming

CSV Trimming is a Python package designed to clean up crooked CSVs - the kind you get from parking sites, legacy systems, or poorly collected data - and transform them into clean, well-formatted CSVs with just one line of code.

There is no need for complex settings or large language models.

pip install csv_trimming

Python
import pandas as pd
from csv_trimming import CSVTrimmer

# Load your csv
csv = pd.read_csv("tests/documents/noisy/sicilia.csv")
# Instantiate the trimmer
trimmer = CSVTrimmer()
# And trim it
trimmed_csv = trimmer.trim(csv)
#That's it!

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☄️ JupyterLab Templates plugin

👨🏻‍💻 If you use JupyterLab a lot, you probably create a new notebook from scratch every time you start a data analysis project. But with the JupyterLab Templates plugin , there is no need to do this anymore. This tool allows you to create different templates and use them whenever you need.

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✅ 5 of the best Kaggle datasets
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👨🏻‍💻 If you are looking for datasets to do financial projects, the datasets presented on the Kaggle site can be a great option.

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Machine Learning with Python pinned Deleted message

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