RegaipKURT / ScikitLearnWithFUN

This repository shows the implementation of machine learning algorithms, data pipelines and data visualization with scikit-learn and python.

machine-learning data-science python scikit-learn scikitlearn-machine-learning scikit-learn-python machine-learning-models data-science-pipelines machine-learning-pipelines machine-learning-pipeline jupyter-notebook data-visualization data-analysis data-analytics

ScikitLearnWithFUN

This repository contains my jupyter notebooks during the Python Scikit-Learn Course from Fun-Mooc given by Inria.

FUN: France Université Numérique. (Digital University of France)

Inria: France National Institute for Research in Digital Science and Technology.

MooC: Massive Open Online Courses.

Website: https://www.fun-mooc.fr/en/

JupyterNotebooks consist from my codes written in python.
You can find datasets used in Projects in Datasets folder.
Some plots and graphs in projects created by an outsource python code written and represented in Figures. Please use these folder to find related figure codes.
WrapUps contain end of session wrap ups.

About

This repository shows the implementation of machine learning algorithms, data pipelines and data visualization with scikit-learn and python.

machine-learning data-science python scikit-learn scikitlearn-machine-learning scikit-learn-python machine-learning-models data-science-pipelines machine-learning-pipelines machine-learning-pipeline jupyter-notebook data-visualization data-analysis data-analytics

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Language:Jupyter Notebook 99.5%Language:Python 0.5%