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Some notes that may help understand some concepts when learning machine learning in Python with Scikit-learn.

Setting up IPython (Jupyter):
1. Install Jupyter (IPython)
2. Run Jupyter notebook - 'jupyter notebook'.
3. Enter into cell:
	%matplotlib inline
	import matplotlib
	import numpy as np
	import matplotlib.pyplot as plt
	import pandas as pd
	from sklearn import datasets

	iris = datasets.load_iris()

 
	iris_df = pd.DataFrame(iris.data, columns = iris.feature_names)
	iris_df['sepal length (cm)'].hist(bins=30)
4. Run the cell

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Machine Learning in Python with Scikit-learn - Notes I have taken through courses and reading

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