Normalization_and_standardization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "view-in-github"
   },
   "source": [
    "<a href=\"https://colab.research.google.com/github/LondheShubham153/unsupervised_learning/blob/main/unsupervised_learning_lab_2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "SiAzFC4mgypS"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from sklearn.datasets import load_iris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "v4dy55gbeYEM",
    "outputId": "0d98e144-1ce1-453a-90b4-e7368bc5f30d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean marks 13.25\n",
      "standard dev marks 4.656984002549289\n"
     ]
    }
   ],
   "source": [
    "marks = [8,10,15,20]\n",
    "new_min = 0\n",
    "new_max = 1\n",
    "mean = np.mean(marks)\n",
    "std_dev = np.std(marks)\n",
    "\n",
    "print(f\"mean marks {mean}\")\n",
    "print(f\"standard dev marks {std_dev}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "OLteDbgGiiYT"
   },
   "outputs": [],
   "source": [
    "def z_score_normalisation(marks,mean,std_dev):\n",
    "  for mark in marks:\n",
    "    print(f\"Z score normalisation for {mark} is {(mark-mean)/std_dev}\")\n",
    "\n",
    "\n",
    "def min_max_normalisation(marks,new_max,new_min):\n",
    "  min_a = min(marks)\n",
    "  max_a = max(marks)\n",
    "  for mark in marks:\n",
    "    minmax = ((mark - min_a)/(max_a - min_a)) * (new_max - new_min) + new_min\n",
    "    print(f\"Minmax normalisation for {mark} is {minmax}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "EikY9ks7i5B8",
    "outputId": "3523933a-f609-4ac8-de63-12d9b304fd0c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minmax normalisation for 8 is 0.0\n",
      "Minmax normalisation for 10 is 0.16666666666666666\n",
      "Minmax normalisation for 15 is 0.5833333333333334\n",
      "Minmax normalisation for 20 is 1.0\n",
      "\n",
      "\n",
      "Z score normalisation for 8 is -1.1273390668995398\n",
      "Z score normalisation for 10 is -0.6978765652235247\n",
      "Z score normalisation for 15 is 0.37577968896651326\n",
      "Z score normalisation for 20 is 1.4494359431565513\n"
     ]
    }
   ],
   "source": [
    "\n",
    "min_max_normalisation(marks,new_max,new_min)\n",
    "print(\"\\n\")\n",
    "z_score_normalisation(marks,mean,std_dev)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aIOdm3Brtg86"
   },
   "source": [
    "Iris Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "s6Ihl60QtXTY",
    "outputId": "7efac14a-886a-4e9d-9b01-68b590ecd2fc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Z score normalisation for 5.1 is -0.9006811702978088\n",
      "Z score normalisation for 4.9 is -1.1430169111851105\n",
      "Z score normalisation for 4.7 is -1.3853526520724133\n",
      "Z score normalisation for 4.6 is -1.5065205225160652\n",
      "Z score normalisation for 5.0 is -1.0218490407414595\n",
      "Z score normalisation for 5.4 is -0.537177558966854\n",
      "Z score normalisation for 4.6 is -1.5065205225160652\n",
      "Z score normalisation for 5.0 is -1.0218490407414595\n",
      "Z score normalisation for 4.4 is -1.7488562634033669\n",
      "Z score normalisation for 4.9 is -1.1430169111851105\n",
      "Z score normalisation for 5.4 is -0.537177558966854\n",
      "Z score normalisation for 4.8 is -1.2641847816287624\n",
      "Z score normalisation for 4.8 is -1.2641847816287624\n",
      "Z score normalisation for 4.3 is -1.870024133847019\n",
      "Z score normalisation for 5.8 is -0.05250607719224957\n",
      "Z score normalisation for 5.7 is -0.1736739476359004\n",
      "Z score normalisation for 5.4 is -0.537177558966854\n",
      "Z score normalisation for 5.1 is -0.9006811702978088\n",
      "Z score normalisation for 5.7 is -0.1736739476359004\n",
      "Z score normalisation for 5.1 is -0.9006811702978088\n",
      "Z score normalisation for 5.4 is -0.537177558966854\n",
      "Z score normalisation for 5.1 is -0.9006811702978088\n",
      "Z score normalisation for 4.6 is -1.5065205225160652\n",
      "Z score normalisation for 5.1 is -0.9006811702978088\n",
      "Z score normalisation for 4.8 is -1.2641847816287624\n",
      "Z score normalisation for 5.0 is -1.0218490407414595\n",
      "Z score normalisation for 5.0 is -1.0218490407414595\n",
      "Z score normalisation for 5.2 is -0.7795132998541568\n",
      "Z score normalisation for 5.2 is -0.7795132998541568\n",
      "Z score normalisation for 4.7 is -1.3853526520724133\n",
      "Z score normalisation for 4.8 is -1.2641847816287624\n",
      "Z score normalisation for 5.4 is -0.537177558966854\n",
      "Z score normalisation for 5.2 is -0.7795132998541568\n",
      "Z score normalisation for 5.5 is -0.4160096885232032\n",
      "Z score normalisation for 4.9 is -1.1430169111851105\n",
      "Z score normalisation for 5.0 is -1.0218490407414595\n",
      "Z score normalisation for 5.5 is -0.4160096885232032\n",
      "Z score normalisation for 4.9 is -1.1430169111851105\n",
      "Z score normalisation for 4.4 is -1.7488562634033669\n",
      "Z score normalisation for 5.1 is -0.9006811702978088\n",
      "Z score normalisation for 5.0 is -1.0218490407414595\n",
      "Z score normalisation for 4.5 is -1.6276883929597161\n",
      "Z score normalisation for 4.4 is -1.7488562634033669\n",
      "Z score normalisation for 5.0 is -1.0218490407414595\n",
      "Z score normalisation for 5.1 is -0.9006811702978088\n",
      "Z score normalisation for 4.8 is -1.2641847816287624\n",
      "Z score normalisation for 5.1 is -0.9006811702978088\n",
      "Z score normalisation for 4.6 is -1.5065205225160652\n",
      "Z score normalisation for 5.3 is -0.658345429410506\n",
      "Z score normalisation for 5.0 is -1.0218490407414595\n",
      "Z score normalisation for 7.0 is 1.401508368131566\n",
      "Z score normalisation for 6.4 is 0.6745011454696588\n",
      "Z score normalisation for 6.9 is 1.2803404976879151\n",
      "Z score normalisation for 5.5 is -0.4160096885232032\n",
      "Z score normalisation for 6.5 is 0.7956690159133096\n",
      "Z score normalisation for 5.7 is -0.1736739476359004\n",
      "Z score normalisation for 6.3 is 0.5533332750260068\n",
      "Z score normalisation for 4.9 is -1.1430169111851105\n",
      "Z score normalisation for 6.6 is 0.9168368863569605\n",
      "Z score normalisation for 5.2 is -0.7795132998541568\n",
      "Z score normalisation for 5.0 is -1.0218490407414595\n",
      "Z score normalisation for 5.9 is 0.06866179325140237\n",
      "Z score normalisation for 6.0 is 0.18982966369505322\n",
      "Z score normalisation for 6.1 is 0.31099753413870407\n",
      "Z score normalisation for 5.6 is -0.29484181807955234\n",
      "Z score normalisation for 6.7 is 1.0380047568006125\n",
      "Z score normalisation for 5.6 is -0.29484181807955234\n",
      "Z score normalisation for 5.8 is -0.05250607719224957\n",
      "Z score normalisation for 6.2 is 0.432165404582356\n",
      "Z score normalisation for 5.6 is -0.29484181807955234\n",
      "Z score normalisation for 5.9 is 0.06866179325140237\n",
      "Z score normalisation for 6.1 is 0.31099753413870407\n",
      "Z score normalisation for 6.3 is 0.5533332750260068\n",
      "Z score normalisation for 6.1 is 0.31099753413870407\n",
      "Z score normalisation for 6.4 is 0.6745011454696588\n",
      "Z score normalisation for 6.6 is 0.9168368863569605\n",
      "Z score normalisation for 6.8 is 1.1591726272442633\n",
      "Z score normalisation for 6.7 is 1.0380047568006125\n",
      "Z score normalisation for 6.0 is 0.18982966369505322\n",
      "Z score normalisation for 5.7 is -0.1736739476359004\n",
      "Z score normalisation for 5.5 is -0.4160096885232032\n",
      "Z score normalisation for 5.5 is -0.4160096885232032\n",
      "Z score normalisation for 5.8 is -0.05250607719224957\n",
      "Z score normalisation for 6.0 is 0.18982966369505322\n",
      "Z score normalisation for 5.4 is -0.537177558966854\n",
      "Z score normalisation for 6.0 is 0.18982966369505322\n",
      "Z score normalisation for 6.7 is 1.0380047568006125\n",
      "Z score normalisation for 6.3 is 0.5533332750260068\n",
      "Z score normalisation for 5.6 is -0.29484181807955234\n",
      "Z score normalisation for 5.5 is -0.4160096885232032\n",
      "Z score normalisation for 5.5 is -0.4160096885232032\n",
      "Z score normalisation for 6.1 is 0.31099753413870407\n",
      "Z score normalisation for 5.8 is -0.05250607719224957\n",
      "Z score normalisation for 5.0 is -1.0218490407414595\n",
      "Z score normalisation for 5.6 is -0.29484181807955234\n",
      "Z score normalisation for 5.7 is -0.1736739476359004\n",
      "Z score normalisation for 5.7 is -0.1736739476359004\n",
      "Z score normalisation for 6.2 is 0.432165404582356\n",
      "Z score normalisation for 5.1 is -0.9006811702978088\n",
      "Z score normalisation for 5.7 is -0.1736739476359004\n",
      "Z score normalisation for 6.3 is 0.5533332750260068\n",
      "Z score normalisation for 5.8 is -0.05250607719224957\n",
      "Z score normalisation for 7.1 is 1.522676238575217\n",
      "Z score normalisation for 6.3 is 0.5533332750260068\n",
      "Z score normalisation for 6.5 is 0.7956690159133096\n",
      "Z score normalisation for 7.6 is 2.1285155907934734\n",
      "Z score normalisation for 4.9 is -1.1430169111851105\n",
      "Z score normalisation for 7.3 is 1.7650119794625196\n",
      "Z score normalisation for 6.7 is 1.0380047568006125\n",
      "Z score normalisation for 7.2 is 1.643844109018869\n",
      "Z score normalisation for 6.5 is 0.7956690159133096\n",
      "Z score normalisation for 6.4 is 0.6745011454696588\n",
      "Z score normalisation for 6.8 is 1.1591726272442633\n",
      "Z score normalisation for 5.7 is -0.1736739476359004\n",
      "Z score normalisation for 5.8 is -0.05250607719224957\n",
      "Z score normalisation for 6.4 is 0.6745011454696588\n",
      "Z score normalisation for 6.5 is 0.7956690159133096\n",
      "Z score normalisation for 7.7 is 2.2496834612371255\n",
      "Z score normalisation for 7.7 is 2.2496834612371255\n",
      "Z score normalisation for 6.0 is 0.18982966369505322\n",
      "Z score normalisation for 6.9 is 1.2803404976879151\n",
      "Z score normalisation for 5.6 is -0.29484181807955234\n",
      "Z score normalisation for 7.7 is 2.2496834612371255\n",
      "Z score normalisation for 6.3 is 0.5533332750260068\n",
      "Z score normalisation for 6.7 is 1.0380047568006125\n",
      "Z score normalisation for 7.2 is 1.643844109018869\n",
      "Z score normalisation for 6.2 is 0.432165404582356\n",
      "Z score normalisation for 6.1 is 0.31099753413870407\n",
      "Z score normalisation for 6.4 is 0.6745011454696588\n",
      "Z score normalisation for 7.2 is 1.643844109018869\n",
      "Z score normalisation for 7.4 is 1.8861798499061717\n",
      "Z score normalisation for 7.9 is 2.4920192021244283\n",
      "Z score normalisation for 6.4 is 0.6745011454696588\n",
      "Z score normalisation for 6.3 is 0.5533332750260068\n",
      "Z score normalisation for 6.1 is 0.31099753413870407\n",
      "Z score normalisation for 7.7 is 2.2496834612371255\n",
      "Z score normalisation for 6.3 is 0.5533332750260068\n",
      "Z score normalisation for 6.4 is 0.6745011454696588\n",
      "Z score normalisation for 6.0 is 0.18982966369505322\n",
      "Z score normalisation for 6.9 is 1.2803404976879151\n",
      "Z score normalisation for 6.7 is 1.0380047568006125\n",
      "Z score normalisation for 6.9 is 1.2803404976879151\n",
      "Z score normalisation for 5.8 is -0.05250607719224957\n",
      "Z score normalisation for 6.8 is 1.1591726272442633\n",
      "Z score normalisation for 6.7 is 1.0380047568006125\n",
      "Z score normalisation for 6.7 is 1.0380047568006125\n",
      "Z score normalisation for 6.3 is 0.5533332750260068\n",
      "Z score normalisation for 6.5 is 0.7956690159133096\n",
      "Z score normalisation for 6.2 is 0.432165404582356\n",
      "Z score normalisation for 5.9 is 0.06866179325140237\n",
      "Minmax normalisation for 5.1 is 0.22222222222222213\n",
      "Minmax normalisation for 4.9 is 0.1666666666666668\n",
      "Minmax normalisation for 4.7 is 0.11111111111111119\n",
      "Minmax normalisation for 4.6 is 0.08333333333333327\n",
      "Minmax normalisation for 5.0 is 0.19444444444444448\n",
      "Minmax normalisation for 5.4 is 0.30555555555555564\n",
      "Minmax normalisation for 4.6 is 0.08333333333333327\n",
      "Minmax normalisation for 5.0 is 0.19444444444444448\n",
      "Minmax normalisation for 4.4 is 0.027777777777777922\n",
      "Minmax normalisation for 4.9 is 0.1666666666666668\n",
      "Minmax normalisation for 5.4 is 0.30555555555555564\n",
      "Minmax normalisation for 4.8 is 0.13888888888888887\n",
      "Minmax normalisation for 4.8 is 0.13888888888888887\n",
      "Minmax normalisation for 4.3 is 0.0\n",
      "Minmax normalisation for 5.8 is 0.41666666666666663\n",
      "Minmax normalisation for 5.7 is 0.38888888888888895\n",
      "Minmax normalisation for 5.4 is 0.30555555555555564\n",
      "Minmax normalisation for 5.1 is 0.22222222222222213\n",
      "Minmax normalisation for 5.7 is 0.38888888888888895\n",
      "Minmax normalisation for 5.1 is 0.22222222222222213\n",
      "Minmax normalisation for 5.4 is 0.30555555555555564\n",
      "Minmax normalisation for 5.1 is 0.22222222222222213\n",
      "Minmax normalisation for 4.6 is 0.08333333333333327\n",
      "Minmax normalisation for 5.1 is 0.22222222222222213\n",
      "Minmax normalisation for 4.8 is 0.13888888888888887\n",
      "Minmax normalisation for 5.0 is 0.19444444444444448\n",
      "Minmax normalisation for 5.0 is 0.19444444444444448\n",
      "Minmax normalisation for 5.2 is 0.25000000000000006\n",
      "Minmax normalisation for 5.2 is 0.25000000000000006\n",
      "Minmax normalisation for 4.7 is 0.11111111111111119\n",
      "Minmax normalisation for 4.8 is 0.13888888888888887\n",
      "Minmax normalisation for 5.4 is 0.30555555555555564\n",
      "Minmax normalisation for 5.2 is 0.25000000000000006\n",
      "Minmax normalisation for 5.5 is 0.3333333333333333\n",
      "Minmax normalisation for 4.9 is 0.1666666666666668\n",
      "Minmax normalisation for 5.0 is 0.19444444444444448\n",
      "Minmax normalisation for 5.5 is 0.3333333333333333\n",
      "Minmax normalisation for 4.9 is 0.1666666666666668\n",
      "Minmax normalisation for 4.4 is 0.027777777777777922\n",
      "Minmax normalisation for 5.1 is 0.22222222222222213\n",
      "Minmax normalisation for 5.0 is 0.19444444444444448\n",
      "Minmax normalisation for 4.5 is 0.055555555555555594\n",
      "Minmax normalisation for 4.4 is 0.027777777777777922\n",
      "Minmax normalisation for 5.0 is 0.19444444444444448\n",
      "Minmax normalisation for 5.1 is 0.22222222222222213\n",
      "Minmax normalisation for 4.8 is 0.13888888888888887\n",
      "Minmax normalisation for 5.1 is 0.22222222222222213\n",
      "Minmax normalisation for 4.6 is 0.08333333333333327\n",
      "Minmax normalisation for 5.3 is 0.27777777777777773\n",
      "Minmax normalisation for 5.0 is 0.19444444444444448\n",
      "Minmax normalisation for 7.0 is 0.7499999999999999\n",
      "Minmax normalisation for 6.4 is 0.5833333333333334\n",
      "Minmax normalisation for 6.9 is 0.7222222222222222\n",
      "Minmax normalisation for 5.5 is 0.3333333333333333\n",
      "Minmax normalisation for 6.5 is 0.611111111111111\n",
      "Minmax normalisation for 5.7 is 0.38888888888888895\n",
      "Minmax normalisation for 6.3 is 0.5555555555555555\n",
      "Minmax normalisation for 4.9 is 0.1666666666666668\n",
      "Minmax normalisation for 6.6 is 0.6388888888888887\n",
      "Minmax normalisation for 5.2 is 0.25000000000000006\n",
      "Minmax normalisation for 5.0 is 0.19444444444444448\n",
      "Minmax normalisation for 5.9 is 0.44444444444444453\n",
      "Minmax normalisation for 6.0 is 0.4722222222222222\n",
      "Minmax normalisation for 6.1 is 0.4999999999999999\n",
      "Minmax normalisation for 5.6 is 0.361111111111111\n",
      "Minmax normalisation for 6.7 is 0.6666666666666666\n",
      "Minmax normalisation for 5.6 is 0.361111111111111\n",
      "Minmax normalisation for 5.8 is 0.41666666666666663\n",
      "Minmax normalisation for 6.2 is 0.5277777777777778\n",
      "Minmax normalisation for 5.6 is 0.361111111111111\n",
      "Minmax normalisation for 5.9 is 0.44444444444444453\n",
      "Minmax normalisation for 6.1 is 0.4999999999999999\n",
      "Minmax normalisation for 6.3 is 0.5555555555555555\n",
      "Minmax normalisation for 6.1 is 0.4999999999999999\n",
      "Minmax normalisation for 6.4 is 0.5833333333333334\n",
      "Minmax normalisation for 6.6 is 0.6388888888888887\n",
      "Minmax normalisation for 6.8 is 0.6944444444444443\n",
      "Minmax normalisation for 6.7 is 0.6666666666666666\n",
      "Minmax normalisation for 6.0 is 0.4722222222222222\n",
      "Minmax normalisation for 5.7 is 0.38888888888888895\n",
      "Minmax normalisation for 5.5 is 0.3333333333333333\n",
      "Minmax normalisation for 5.5 is 0.3333333333333333\n",
      "Minmax normalisation for 5.8 is 0.41666666666666663\n",
      "Minmax normalisation for 6.0 is 0.4722222222222222\n",
      "Minmax normalisation for 5.4 is 0.30555555555555564\n",
      "Minmax normalisation for 6.0 is 0.4722222222222222\n",
      "Minmax normalisation for 6.7 is 0.6666666666666666\n",
      "Minmax normalisation for 6.3 is 0.5555555555555555\n",
      "Minmax normalisation for 5.6 is 0.361111111111111\n",
      "Minmax normalisation for 5.5 is 0.3333333333333333\n",
      "Minmax normalisation for 5.5 is 0.3333333333333333\n",
      "Minmax normalisation for 6.1 is 0.4999999999999999\n",
      "Minmax normalisation for 5.8 is 0.41666666666666663\n",
      "Minmax normalisation for 5.0 is 0.19444444444444448\n",
      "Minmax normalisation for 5.6 is 0.361111111111111\n",
      "Minmax normalisation for 5.7 is 0.38888888888888895\n",
      "Minmax normalisation for 5.7 is 0.38888888888888895\n",
      "Minmax normalisation for 6.2 is 0.5277777777777778\n",
      "Minmax normalisation for 5.1 is 0.22222222222222213\n",
      "Minmax normalisation for 5.7 is 0.38888888888888895\n",
      "Minmax normalisation for 6.3 is 0.5555555555555555\n",
      "Minmax normalisation for 5.8 is 0.41666666666666663\n",
      "Minmax normalisation for 7.1 is 0.7777777777777776\n",
      "Minmax normalisation for 6.3 is 0.5555555555555555\n",
      "Minmax normalisation for 6.5 is 0.611111111111111\n",
      "Minmax normalisation for 7.6 is 0.9166666666666665\n",
      "Minmax normalisation for 4.9 is 0.1666666666666668\n",
      "Minmax normalisation for 7.3 is 0.8333333333333333\n",
      "Minmax normalisation for 6.7 is 0.6666666666666666\n",
      "Minmax normalisation for 7.2 is 0.8055555555555556\n",
      "Minmax normalisation for 6.5 is 0.611111111111111\n",
      "Minmax normalisation for 6.4 is 0.5833333333333334\n",
      "Minmax normalisation for 6.8 is 0.6944444444444443\n",
      "Minmax normalisation for 5.7 is 0.38888888888888895\n",
      "Minmax normalisation for 5.8 is 0.41666666666666663\n",
      "Minmax normalisation for 6.4 is 0.5833333333333334\n",
      "Minmax normalisation for 6.5 is 0.611111111111111\n",
      "Minmax normalisation for 7.7 is 0.9444444444444444\n",
      "Minmax normalisation for 7.7 is 0.9444444444444444\n",
      "Minmax normalisation for 6.0 is 0.4722222222222222\n",
      "Minmax normalisation for 6.9 is 0.7222222222222222\n",
      "Minmax normalisation for 5.6 is 0.361111111111111\n",
      "Minmax normalisation for 7.7 is 0.9444444444444444\n",
      "Minmax normalisation for 6.3 is 0.5555555555555555\n",
      "Minmax normalisation for 6.7 is 0.6666666666666666\n",
      "Minmax normalisation for 7.2 is 0.8055555555555556\n",
      "Minmax normalisation for 6.2 is 0.5277777777777778\n",
      "Minmax normalisation for 6.1 is 0.4999999999999999\n",
      "Minmax normalisation for 6.4 is 0.5833333333333334\n",
      "Minmax normalisation for 7.2 is 0.8055555555555556\n",
      "Minmax normalisation for 7.4 is 0.8611111111111112\n",
      "Minmax normalisation for 7.9 is 1.0\n",
      "Minmax normalisation for 6.4 is 0.5833333333333334\n",
      "Minmax normalisation for 6.3 is 0.5555555555555555\n",
      "Minmax normalisation for 6.1 is 0.4999999999999999\n",
      "Minmax normalisation for 7.7 is 0.9444444444444444\n",
      "Minmax normalisation for 6.3 is 0.5555555555555555\n",
      "Minmax normalisation for 6.4 is 0.5833333333333334\n",
      "Minmax normalisation for 6.0 is 0.4722222222222222\n",
      "Minmax normalisation for 6.9 is 0.7222222222222222\n",
      "Minmax normalisation for 6.7 is 0.6666666666666666\n",
      "Minmax normalisation for 6.9 is 0.7222222222222222\n",
      "Minmax normalisation for 5.8 is 0.41666666666666663\n",
      "Minmax normalisation for 6.8 is 0.6944444444444443\n",
      "Minmax normalisation for 6.7 is 0.6666666666666666\n",
      "Minmax normalisation for 6.7 is 0.6666666666666666\n",
      "Minmax normalisation for 6.3 is 0.5555555555555555\n",
      "Minmax normalisation for 6.5 is 0.611111111111111\n",
      "Minmax normalisation for 6.2 is 0.5277777777777778\n",
      "Minmax normalisation for 5.9 is 0.44444444444444453\n"
     ]
    }
   ],
   "source": [
    "iris_data = load_iris()\n",
    "sepal_len = []\n",
    "sepal_width = []\n",
    "petal_len = []\n",
    "petal_width = []\n",
    "\n",
    "#seperate the features of iris\n",
    "for data in iris_data.data:\n",
    "  sepal_len.append(data[0])\n",
    "  sepal_width.append(data[1])\n",
    "  petal_len.append(data[2])\n",
    "  petal_width.append(data[3])\n",
    "\n",
    "#for sepal length feature of iris\n",
    "mean_sepal_len = np.mean(sepal_len)\n",
    "std_dev_sepal_len = np.std(sepal_len)\n",
    "\n",
    "z_score_normalisation(sepal_len,mean_sepal_len,std_dev_sepal_len)\n",
    "min_max_normalisation(sepal_len,new_max,new_min)"
   ]
  }
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