Although the library is fairly new, it has quickly become one of the most popular libraries on GitHub. It also integrates well with many other Python libraries, such as Matplotlib, Plotly, NumPy, Pandas, SciPy, etc. Scikit-learn is one of NumFOCUS’s fiscally sponsored projects. Additionally, it provides many other tools for evaluation, selection, model development, and data preprocessing. It provides a range of tools for machine learning and statistical modeling including dimensionality reduction, clustering, regression, and classification, through a consistent interface in Python. It is open source and built upon NumPy, SciPy, and Matplotlib. Scikit Learn or Sklearn is one of the most robust libraries for machine learning in Python.
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