diff --git a/scikit_learn_ML_01.ipynb b/scikit_learn_ML_01.ipynb
new file mode 100644
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+++ b/scikit_learn_ML_01.ipynb
@@ -0,0 +1,462 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "authorship_tag": "ABX9TyPuEIRryr2g0wc8LaS7jy3X",
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/ultrasage-danz/scikit-learn-ML/blob/main/scikit_learn_ML_01.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "metadata": {
+        "id": "wN03_nY2vCrg"
+      },
+      "outputs": [],
+      "source": [
+        "from sklearn.datasets import load_iris\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "iris = load_iris()\n",
+        "type(iris)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 187
+        },
+        "id": "KtrvVuBwEi8f",
+        "outputId": "5aefa11f-1a9f-422c-8477-480973fd11e1"
+      },
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "sklearn.utils._bunch.Bunch"
+            ],
+            "text/html": [
+              "<div style=\"max-width:800px; border: 1px solid var(--colab-border-color);\"><style>\n",
+              "      pre.function-repr-contents {\n",
+              "        overflow-x: auto;\n",
+              "        padding: 8px 12px;\n",
+              "        max-height: 500px;\n",
+              "      }\n",
+              "\n",
+              "      pre.function-repr-contents.function-repr-contents-collapsed {\n",
+              "        cursor: pointer;\n",
+              "        max-height: 100px;\n",
+              "      }\n",
+              "    </style>\n",
+              "    <pre style=\"white-space: initial; background:\n",
+              "         var(--colab-secondary-surface-color); padding: 8px 12px;\n",
+              "         border-bottom: 1px solid var(--colab-border-color);\"><b>sklearn.utils._bunch.Bunch</b><br/>def __init__(**kwargs)</pre><pre class=\"function-repr-contents function-repr-contents-collapsed\" style=\"\"><a class=\"filepath\" style=\"display:none\" href=\"#\">/usr/local/lib/python3.10/dist-packages/sklearn/utils/_bunch.py</a>Container object exposing keys as attributes.\n",
+              "\n",
+              "Bunch objects are sometimes used as an output for functions and methods.\n",
+              "They extend dictionaries by enabling values to be accessed by key,\n",
+              "`bunch[&quot;value_key&quot;]`, or by an attribute, `bunch.value_key`.\n",
+              "\n",
+              "Examples\n",
+              "--------\n",
+              "&gt;&gt;&gt; from sklearn.utils import Bunch\n",
+              "&gt;&gt;&gt; b = Bunch(a=1, b=2)\n",
+              "&gt;&gt;&gt; b[&#x27;b&#x27;]\n",
+              "2\n",
+              "&gt;&gt;&gt; b.b\n",
+              "2\n",
+              "&gt;&gt;&gt; b.a = 3\n",
+              "&gt;&gt;&gt; b[&#x27;a&#x27;]\n",
+              "3\n",
+              "&gt;&gt;&gt; b.c = 6\n",
+              "&gt;&gt;&gt; b[&#x27;c&#x27;]\n",
+              "6</pre>\n",
+              "      <script>\n",
+              "      if (google.colab.kernel.accessAllowed && google.colab.files && google.colab.files.view) {\n",
+              "        for (const element of document.querySelectorAll('.filepath')) {\n",
+              "          element.style.display = 'block'\n",
+              "          element.onclick = (event) => {\n",
+              "            event.preventDefault();\n",
+              "            event.stopPropagation();\n",
+              "            google.colab.files.view(element.textContent, 1);\n",
+              "          };\n",
+              "        }\n",
+              "      }\n",
+              "      for (const element of document.querySelectorAll('.function-repr-contents')) {\n",
+              "        element.onclick = (event) => {\n",
+              "          event.preventDefault();\n",
+              "          event.stopPropagation();\n",
+              "          element.classList.toggle('function-repr-contents-collapsed');\n",
+              "        };\n",
+              "      }\n",
+              "      </script>\n",
+              "      </div>"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 3
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(iris.data)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "09x8GCQdErVr",
+        "outputId": "878fca0f-bace-4d4c-e9a1-866b492eec34"
+      },
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "[[5.1 3.5 1.4 0.2]\n",
+            " [4.9 3.  1.4 0.2]\n",
+            " [4.7 3.2 1.3 0.2]\n",
+            " [4.6 3.1 1.5 0.2]\n",
+            " [5.  3.6 1.4 0.2]\n",
+            " [5.4 3.9 1.7 0.4]\n",
+            " [4.6 3.4 1.4 0.3]\n",
+            " [5.  3.4 1.5 0.2]\n",
+            " [4.4 2.9 1.4 0.2]\n",
+            " [4.9 3.1 1.5 0.1]\n",
+            " [5.4 3.7 1.5 0.2]\n",
+            " [4.8 3.4 1.6 0.2]\n",
+            " [4.8 3.  1.4 0.1]\n",
+            " [4.3 3.  1.1 0.1]\n",
+            " [5.8 4.  1.2 0.2]\n",
+            " [5.7 4.4 1.5 0.4]\n",
+            " [5.4 3.9 1.3 0.4]\n",
+            " [5.1 3.5 1.4 0.3]\n",
+            " [5.7 3.8 1.7 0.3]\n",
+            " [5.1 3.8 1.5 0.3]\n",
+            " [5.4 3.4 1.7 0.2]\n",
+            " [5.1 3.7 1.5 0.4]\n",
+            " [4.6 3.6 1.  0.2]\n",
+            " [5.1 3.3 1.7 0.5]\n",
+            " [4.8 3.4 1.9 0.2]\n",
+            " [5.  3.  1.6 0.2]\n",
+            " [5.  3.4 1.6 0.4]\n",
+            " [5.2 3.5 1.5 0.2]\n",
+            " [5.2 3.4 1.4 0.2]\n",
+            " [4.7 3.2 1.6 0.2]\n",
+            " [4.8 3.1 1.6 0.2]\n",
+            " [5.4 3.4 1.5 0.4]\n",
+            " [5.2 4.1 1.5 0.1]\n",
+            " [5.5 4.2 1.4 0.2]\n",
+            " [4.9 3.1 1.5 0.2]\n",
+            " [5.  3.2 1.2 0.2]\n",
+            " [5.5 3.5 1.3 0.2]\n",
+            " [4.9 3.6 1.4 0.1]\n",
+            " [4.4 3.  1.3 0.2]\n",
+            " [5.1 3.4 1.5 0.2]\n",
+            " [5.  3.5 1.3 0.3]\n",
+            " [4.5 2.3 1.3 0.3]\n",
+            " [4.4 3.2 1.3 0.2]\n",
+            " [5.  3.5 1.6 0.6]\n",
+            " [5.1 3.8 1.9 0.4]\n",
+            " [4.8 3.  1.4 0.3]\n",
+            " [5.1 3.8 1.6 0.2]\n",
+            " [4.6 3.2 1.4 0.2]\n",
+            " [5.3 3.7 1.5 0.2]\n",
+            " [5.  3.3 1.4 0.2]\n",
+            " [7.  3.2 4.7 1.4]\n",
+            " [6.4 3.2 4.5 1.5]\n",
+            " [6.9 3.1 4.9 1.5]\n",
+            " [5.5 2.3 4.  1.3]\n",
+            " [6.5 2.8 4.6 1.5]\n",
+            " [5.7 2.8 4.5 1.3]\n",
+            " [6.3 3.3 4.7 1.6]\n",
+            " [4.9 2.4 3.3 1. ]\n",
+            " [6.6 2.9 4.6 1.3]\n",
+            " [5.2 2.7 3.9 1.4]\n",
+            " [5.  2.  3.5 1. ]\n",
+            " [5.9 3.  4.2 1.5]\n",
+            " [6.  2.2 4.  1. ]\n",
+            " [6.1 2.9 4.7 1.4]\n",
+            " [5.6 2.9 3.6 1.3]\n",
+            " [6.7 3.1 4.4 1.4]\n",
+            " [5.6 3.  4.5 1.5]\n",
+            " [5.8 2.7 4.1 1. ]\n",
+            " [6.2 2.2 4.5 1.5]\n",
+            " [5.6 2.5 3.9 1.1]\n",
+            " [5.9 3.2 4.8 1.8]\n",
+            " [6.1 2.8 4.  1.3]\n",
+            " [6.3 2.5 4.9 1.5]\n",
+            " [6.1 2.8 4.7 1.2]\n",
+            " [6.4 2.9 4.3 1.3]\n",
+            " [6.6 3.  4.4 1.4]\n",
+            " [6.8 2.8 4.8 1.4]\n",
+            " [6.7 3.  5.  1.7]\n",
+            " [6.  2.9 4.5 1.5]\n",
+            " [5.7 2.6 3.5 1. ]\n",
+            " [5.5 2.4 3.8 1.1]\n",
+            " [5.5 2.4 3.7 1. ]\n",
+            " [5.8 2.7 3.9 1.2]\n",
+            " [6.  2.7 5.1 1.6]\n",
+            " [5.4 3.  4.5 1.5]\n",
+            " [6.  3.4 4.5 1.6]\n",
+            " [6.7 3.1 4.7 1.5]\n",
+            " [6.3 2.3 4.4 1.3]\n",
+            " [5.6 3.  4.1 1.3]\n",
+            " [5.5 2.5 4.  1.3]\n",
+            " [5.5 2.6 4.4 1.2]\n",
+            " [6.1 3.  4.6 1.4]\n",
+            " [5.8 2.6 4.  1.2]\n",
+            " [5.  2.3 3.3 1. ]\n",
+            " [5.6 2.7 4.2 1.3]\n",
+            " [5.7 3.  4.2 1.2]\n",
+            " [5.7 2.9 4.2 1.3]\n",
+            " [6.2 2.9 4.3 1.3]\n",
+            " [5.1 2.5 3.  1.1]\n",
+            " [5.7 2.8 4.1 1.3]\n",
+            " [6.3 3.3 6.  2.5]\n",
+            " [5.8 2.7 5.1 1.9]\n",
+            " [7.1 3.  5.9 2.1]\n",
+            " [6.3 2.9 5.6 1.8]\n",
+            " [6.5 3.  5.8 2.2]\n",
+            " [7.6 3.  6.6 2.1]\n",
+            " [4.9 2.5 4.5 1.7]\n",
+            " [7.3 2.9 6.3 1.8]\n",
+            " [6.7 2.5 5.8 1.8]\n",
+            " [7.2 3.6 6.1 2.5]\n",
+            " [6.5 3.2 5.1 2. ]\n",
+            " [6.4 2.7 5.3 1.9]\n",
+            " [6.8 3.  5.5 2.1]\n",
+            " [5.7 2.5 5.  2. ]\n",
+            " [5.8 2.8 5.1 2.4]\n",
+            " [6.4 3.2 5.3 2.3]\n",
+            " [6.5 3.  5.5 1.8]\n",
+            " [7.7 3.8 6.7 2.2]\n",
+            " [7.7 2.6 6.9 2.3]\n",
+            " [6.  2.2 5.  1.5]\n",
+            " [6.9 3.2 5.7 2.3]\n",
+            " [5.6 2.8 4.9 2. ]\n",
+            " [7.7 2.8 6.7 2. ]\n",
+            " [6.3 2.7 4.9 1.8]\n",
+            " [6.7 3.3 5.7 2.1]\n",
+            " [7.2 3.2 6.  1.8]\n",
+            " [6.2 2.8 4.8 1.8]\n",
+            " [6.1 3.  4.9 1.8]\n",
+            " [6.4 2.8 5.6 2.1]\n",
+            " [7.2 3.  5.8 1.6]\n",
+            " [7.4 2.8 6.1 1.9]\n",
+            " [7.9 3.8 6.4 2. ]\n",
+            " [6.4 2.8 5.6 2.2]\n",
+            " [6.3 2.8 5.1 1.5]\n",
+            " [6.1 2.6 5.6 1.4]\n",
+            " [7.7 3.  6.1 2.3]\n",
+            " [6.3 3.4 5.6 2.4]\n",
+            " [6.4 3.1 5.5 1.8]\n",
+            " [6.  3.  4.8 1.8]\n",
+            " [6.9 3.1 5.4 2.1]\n",
+            " [6.7 3.1 5.6 2.4]\n",
+            " [6.9 3.1 5.1 2.3]\n",
+            " [5.8 2.7 5.1 1.9]\n",
+            " [6.8 3.2 5.9 2.3]\n",
+            " [6.7 3.3 5.7 2.5]\n",
+            " [6.7 3.  5.2 2.3]\n",
+            " [6.3 2.5 5.  1.9]\n",
+            " [6.5 3.  5.2 2. ]\n",
+            " [6.2 3.4 5.4 2.3]\n",
+            " [5.9 3.  5.1 1.8]]\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(iris.feature_names)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "AdrEh88xFUsn",
+        "outputId": "8d16bbc7-85cf-47fd-a04a-ecc5153e4468"
+      },
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)', 'petal width (cm)']\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(iris.target)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "eqJKrOc2FVCJ",
+        "outputId": "181b4828-27a2-4776-c374-2c81c6c2bb7a"
+      },
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
+            " 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1\n",
+            " 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2\n",
+            " 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2\n",
+            " 2 2]\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(iris.target_names)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "a3-hyl6wFVS-",
+        "outputId": "2666838b-f6eb-47d6-8edc-95a4115de5c6"
+      },
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "['setosa' 'versicolor' 'virginica']\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(type(iris.data))\n",
+        "print(type(iris.target))"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "SBqGfDPoFVkW",
+        "outputId": "11512822-a1cd-4883-83e9-c4e7d94d9db3"
+      },
+      "execution_count": 8,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "<class 'numpy.ndarray'>\n",
+            "<class 'numpy.ndarray'>\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(iris.data.shape)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "BzXWB4bvFV3P",
+        "outputId": "1c11063a-9a52-4f0a-cf71-289700e37333"
+      },
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "(150, 4)\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "print(iris.target.shape)"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "EI8SUuSNHLz5",
+        "outputId": "fedeeec7-9b6e-47dd-a01a-f366e00235a3"
+      },
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "(150,)\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "X = iris.data\n",
+        "y = iris.target"
+      ],
+      "metadata": {
+        "id": "hIxIE7Y8HMeH"
+      },
+      "execution_count": 11,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [],
+      "metadata": {
+        "id": "nY7-6fvpwEAu"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file