"aioptima" is a Python library and contains a set of functions to facilitate data analysis and preprocessing steps. Thanks to these functions, feature engineering steps will be carried out very quickly.
You can use pip to install the aioptima library:
pip install aioptimaAfter running this command, the aioptima library and all its dependencies will be installed. Now you can use the library in your project.
You can also directly install the aioptima library from GitHub and add it to your project:
https://github.com/Enes-CE/AIOptima.gitThe aioptima library is based on popular Python libraries such as pandas, numpy, scikit-learn, matplotlib and seaborn. These libraries must exist. If they are not installed, you can use the following commands to install them:
pip install pandas
pip install numpy
pip install scikit-learn
pip install matplotlib
pip install seabornfrom aioptima import analys, visualize
df = analys.load_file("titanic", "csv")
analys.overview(df)
cat_cols, num_cols, cat_but_car, num_but_cat = analys.column_detection(df)
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