template.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['figure.figsize'] = [10, 5]\n",
    "\n",
    "from pandas import DataFrame, read_excel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Distinguish Iris species based on flower morphological features\n",
    "\n",
    "**Pandas, a powerful Python data analysis toolkit [docs](http://pandas.pydata.org/pandas-docs/stable/)**\n",
    "\n",
    "<img align=\"right\" src=\"data/iris_petal_sepal.png\">\n",
    "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",
    "\n",
    "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."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = read_excel('data/iris-dataset.xls')"
   ]
  }
 ],
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