dataprep.eda: a newcomer in data analysis
by In this article I show you how to use the new arrival of data analysis with Python: datapre.eda
Category: Data prep
In this section of my blog you’ll be able to find some informations and usage around data preparation. I will also try some data preparation tools.
Explore your data with DataExplore
Discover in this article how to use the Open Source DataExplore tool to visualize and even manipulate your data.
Analyze your data with Pandas-profiling
Analyze your data effortlessly with the pandas_profiling Python library.
Strings Comparison
Find out in this article how to use distance algorithms and the Fuzzywuzzy library to compare strings.
Get started with Tesseract
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Interested in OCRs? learn how to use Tesseract (Open Source OCR) from the command line but also via Python.
Preparing the datasets
preparing the datasets in a Machine Learning project is a very important step that should not be neglected, otherwise you risk over evaluating your model (over-fitting) or quite simply the opposite (under fitting). In this article we will go through the essential steps for this delicate operation.
Variables correlation
This article shows you how to detect links between observation variables.
Orange Data Science Tool
Discover in this article in the form of a tutorial how this small Open-Source Data-science tool can save you a lot of time!
Bag of Words
To follow up on my article on the management of character strings, here is a first part which will allow us to have a progressive approach to the processing of this type of data. Far from any semantic approach (which will be the subject of a later post) we will discuss here the technique of bags of words
