vepriya/machine_learnings.ipynb

## machine_learnings.ipynb
{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "machine_learnings",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/vepriya/9dc278214db7494e88cdf974425180c8/machine_learnings.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xk4RUtj9FtvC",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "outputId": "05b430cf-1f24-477a-e693-71cfa18a8aeb"
      },
      "source": [
        "import matplotlib.pyplot as plt \n",
        "\n",
        "# x-axis values \n",
        "x = [1,2,3,4,5,6,7,8,9,10] \n",
        "# y-axis values \n",
        "y = [2,4,5,7,6,8,9,11,12,12] \n",
        "\n",
        "# plotting points as a scatter plot \n",
        "plt.scatter(x, y, label= \"stars\", color= \"blue\", \n",
        "\t\t\tmarker= \".\", s=50) \n",
        "\n",
        "\n",
        "plt.xlabel('x - axis') \n",
        "\n",
        "plt.ylabel('y - axis') \n",
        "plt.title('scatter plot!') \n",
        "\n",
        "plt.legend() \n",
        "\n",
        "plt.show() \n"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}
	{
	"nbformat": 4,
	"nbformat_minor": 0,
	"metadata": {
	"colab": {
	"name": "machine_learnings",
	"provenance": [],
	"include_colab_link": true
	},
	"kernelspec": {
	"name": "python3",
	"display_name": "Python 3"
	}
	},
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {
	"id": "view-in-github",
	"colab_type": "text"
	},
	"source": [
	"<a href=\"https://colab.research.google.com/gist/vepriya/9dc278214db7494e88cdf974425180c8/machine_learnings.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
	]
	},
	{
	"cell_type": "code",
	"metadata": {
	"id": "Xk4RUtj9FtvC",
	"colab_type": "code",
	"colab": {
	"base_uri": "https://localhost:8080/",
	"height": 295
	},
	"outputId": "05b430cf-1f24-477a-e693-71cfa18a8aeb"
	},
	"source": [
	"import matplotlib.pyplot as plt \n",
	"\n",
	"# x-axis values \n",
	"x = [1,2,3,4,5,6,7,8,9,10] \n",
	"# y-axis values \n",
	"y = [2,4,5,7,6,8,9,11,12,12] \n",
	"\n",
	"# plotting points as a scatter plot \n",
	"plt.scatter(x, y, label= \"stars\", color= \"blue\", \n",
	"\t\t\tmarker= \".\", s=50) \n",
	"\n",
	"\n",
	"plt.xlabel('x - axis') \n",
	"\n",
	"plt.ylabel('y - axis') \n",
	"plt.title('scatter plot!') \n",
	"\n",
	"plt.legend() \n",
	"\n",
	"plt.show() \n"
	],
	"execution_count": 11,
	"outputs": [
	{
	"output_type": "display_data",
	"data": {
	"image/png": 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	"text/plain": [
	"<Figure size 432x288 with 1 Axes>"
	]
	},
	"metadata": {
	"tags": []
	}
	}
	]
	}
	]
	}