Health Insurance Cost prediction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c3d81ba3-1aaa-4614-bbcd-fe4391b3b04e",
   "metadata": {},
   "source": [
    "------------------\n",
    "# **PyCaret for Regression(Health Insurance Cost Prediction)**\n",
    "\n",
    "------------------------------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95a64f28-58ae-4783-aa9e-64122e2533cf",
   "metadata": {},
   "source": [
    "PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows.\n",
    "It is an end-to-end machine learning and model management tool that speeds up the experiment cycle exponentially and makes you more productive.\n",
    "It is a bundle of many Machine Learning algorithms.\n",
    "Only three lines of code are required to compare 20 ML models.\n",
    "\n",
    "Pycaret is available for:\n",
    "Classification: https://pycaret.org/classification1/\n",
    "\n",
    "Regression : https://pycaret.org/regression1/\n",
    "\n",
    "Clustering\n",
    "---------------------------------------------------\n",
    "Self-learning resource\n",
    "1. Tutorial on Pycaret:https://pycaret.readthedocs.io/en/lat...\n",
    "\n",
    "2. Documentation on Pycaret-Regression:\n",
    "https://pycaret.org/regression1/\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f282df0e-ce21-492e-882d-d64bb4ea6547",
   "metadata": {},
   "source": [
    "# 1. Install Pycaret"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "eabac993-93c7-4f7b-bde7-d0cad30eaca4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "!pip install pycaret"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a5c050a9-cd6b-4ffc-a590-d25fc9fd8a0d",
   "metadata": {},
   "source": [
    "# 2. Get the version of the pycaret"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a274591f-afb7-4cee-a5b6-25c711b42fc0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
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      "Requirement already satisfied: click>=8.1.3 in c:\\users\\hp\\appdata\\roaming\\python\\python312\\site-packages (from Flask<3.1,>=1.0.4->dash>=2.9.0->plotly-resampler>=0.8.3.1->pycaret) (8.1.7)\n",
      "Requirement already satisfied: blinker>=1.6.2 in c:\\users\\hp\\appdata\\roaming\\python\\python312\\site-packages (from Flask<3.1,>=1.0.4->dash>=2.9.0->plotly-resampler>=0.8.3.1->pycaret) (1.7.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install pycaret\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d5443271-1382-4bb2-97fa-e2ef249e7e20",
   "metadata": {},
   "outputs": [],
   "source": [
    "# from pycaret.utils import version\n",
    "# version()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1c0bfe2-12b1-414b-a2c6-28c612846c7d",
   "metadata": {},
   "source": [
    "# 3. Get the list of datasets available in pycaret(Total Datasets =56)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "aa2d08b9-e16a-478f-87ee-f13f0b93bec2",
   "metadata": {},
   "outputs": [
    {
     "ename": "RuntimeError",
     "evalue": "('Pycaret only supports python 3.9, 3.10, 3.11. Your actual Python version: ', sys.version_info(major=3, minor=12, micro=4, releaselevel='final', serial=0), 'Please DOWNGRADE your Python version.')",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[28], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mpycaret\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatasets\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m get_data\n\u001b[0;32m      2\u001b[0m dataset \u001b[38;5;241m=\u001b[39m get_data(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mindex\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "File \u001b[1;32m~\\AppData\\Roaming\\Python\\Python312\\site-packages\\pycaret\\__init__.py:22\u001b[0m\n\u001b[0;32m     16\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[0;32m     17\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPycaret only supports python 3.9, 3.10, 3.11. Your actual Python version: \u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m     18\u001b[0m         sys\u001b[38;5;241m.\u001b[39mversion_info,\n\u001b[0;32m     19\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPlease UPGRADE your Python version.\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m     20\u001b[0m     )\n\u001b[0;32m     21\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m sys\u001b[38;5;241m.\u001b[39mversion_info \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m (\u001b[38;5;241m3\u001b[39m, \u001b[38;5;241m12\u001b[39m):\n\u001b[1;32m---> 22\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\n\u001b[0;32m     23\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPycaret only supports python 3.9, 3.10, 3.11. Your actual Python version: \u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m     24\u001b[0m         sys\u001b[38;5;241m.\u001b[39mversion_info,\n\u001b[0;32m     25\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPlease DOWNGRADE your Python version.\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m     26\u001b[0m     )\n",
      "\u001b[1;31mRuntimeError\u001b[0m: ('Pycaret only supports python 3.9, 3.10, 3.11. Your actual Python version: ', sys.version_info(major=3, minor=12, micro=4, releaselevel='final', serial=0), 'Please DOWNGRADE your Python version.')"
     ]
    }
   ],
   "source": [
    "from pycaret.datasets import get_data\n",
    "dataset = get_data('index')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6a9842cb-d55a-4669-b225-4dff0594003d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
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 "nbformat": 4,
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