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/016771cbf1d4592d747687b0bf4589b8/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": "NFO31buZ9ZMP",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        },
        "outputId": "955d44fd-d397-45c5-b909-51d2fe07251d"
      },
      "source": [
        "import matplotlib.pyplot as plt \n",
        "\n",
        "# frequencies \n",
        "ages = [2,5,70,40,30,45,50,45,43,40,44, \n",
        "\t\t60,7,13,57,18,90,77,32,21,20,40] \n",
        "\n",
        "# setting the ranges and no. of intervals \n",
        "range = (0, 100) \n",
        "bins = 10\n",
        "\n",
        "\n",
        "plt.hist(ages, bins, range, color = 'blue', \n",
        "\t\thisttype = 'bar', rwidth = 0.9) \n",
        "\n",
        "\n",
        "plt.xlabel('age') \n",
        "\n",
        "plt.ylabel('No. of people') \n",
        "\n",
        "plt.title('A simple histogram') \n",
        "\n",
        "\n",
        "plt.show() \n"
      ],
      "execution_count": 8,
      "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/016771cbf1d4592d747687b0bf4589b8/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": "NFO31buZ9ZMP",
	"colab_type": "code",
	"colab": {
	"base_uri": "https://localhost:8080/",
	"height": 295
	},
	"outputId": "955d44fd-d397-45c5-b909-51d2fe07251d"
	},
	"source": [
	"import matplotlib.pyplot as plt \n",
	"\n",
	"# frequencies \n",
	"ages = [2,5,70,40,30,45,50,45,43,40,44, \n",
	"\t\t60,7,13,57,18,90,77,32,21,20,40] \n",
	"\n",
	"# setting the ranges and no. of intervals \n",
	"range = (0, 100) \n",
	"bins = 10\n",
	"\n",
	"\n",
	"plt.hist(ages, bins, range, color = 'blue', \n",
	"\t\thisttype = 'bar', rwidth = 0.9) \n",
	"\n",
	"\n",
	"plt.xlabel('age') \n",
	"\n",
	"plt.ylabel('No. of people') \n",
	"\n",
	"plt.title('A simple histogram') \n",
	"\n",
	"\n",
	"plt.show() \n"
	],
	"execution_count": 8,
	"outputs": [
	{
	"output_type": "display_data",
	"data": {
	"image/png": 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	"text/plain": [
	"<Figure size 432x288 with 1 Axes>"
	]
	},
	"metadata": {
	"tags": []
	}
	}
	]
	}
	]
	}