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Add starter notebook template
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template.ipynb

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"plt.rcParams['figure.figsize'] = [10, 5]\n",
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"\n",
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"from pandas import DataFrame, read_excel"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Distinguish Iris species based on flower morphological features\n",
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"\n",
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"**Pandas, a powerful Python data analysis toolkit [docs](http://pandas.pydata.org/pandas-docs/stable/)**\n",
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"\n",
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"<img align=\"right\" src=\"data/iris_petal_sepal.png\">\n",
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"The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician and biologist Ronald Fisher.\n",
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"\n",
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"The data set consists of 50 samples from each of three species of Iris (*Iris setosa*, *Iris virginica* and *Iris versicolor*). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"df = read_excel('data/iris-dataset.xls')"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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