python-and-machine-learning

Curso básico en Python de Machine Learning donde se aprende a usar las librerías Numpy, Pandas, Seaborn, Matplotlib, Plotly y Sckit-Learn, haciendo uso de la herramienta Jupyter-Notebook

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
datasets		datasets
.gitignore		.gitignore
README.md		README.md
arboles-decicion-tutorial.ipynb		arboles-decicion-tutorial.ipynb
k-vecinos-más-cercanos-tutorial.ipynb		k-vecinos-más-cercanos-tutorial.ipynb
logistic-regression-tutorial.ipynb		logistic-regression-tutorial.ipynb
matplotlib-tutorial.ipynb		matplotlib-tutorial.ipynb
numPy-tutorial.ipynb		numPy-tutorial.ipynb
pandas-tutorial.ipynb		pandas-tutorial.ipynb
plotly-tutorial.ipynb		plotly-tutorial.ipynb
python-tutorial.ipynb		python-tutorial.ipynb
random-forest-tutorial.ipynb		random-forest-tutorial.ipynb
scikit-learn-tutorial.ipynb		scikit-learn-tutorial.ipynb
seaborn-tutorial.ipynb		seaborn-tutorial.ipynb
suppor-vector-machine-tutorial.ipynb		suppor-vector-machine-tutorial.ipynb

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