Untitled1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "95be0c86",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is the logistic Function (sigmoid function)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "x = np.arange(-10,10)\n",
    "y = 1 / (1 + np.exp(-x))\n",
    "plt.plot(x,y)\n",
    "plt.show\n",
    "print('This is the logistic Function (sigmoid function)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e4b1d636",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting catboostNote: you may need to restart the kernel to use updated packages.\n",
      "\n",
      "  Downloading catboost-1.0.6-cp39-none-win_amd64.whl (73.9 MB)\n",
      "Requirement already satisfied: six in c:\\users\\user\\anaconda3\\lib\\site-packages (from catboost) (1.16.0)\n",
      "Collecting graphviz\n",
      "  Downloading graphviz-0.20.1-py3-none-any.whl (47 kB)\n",
      "Requirement already satisfied: scipy in c:\\users\\user\\anaconda3\\lib\\site-packages (from catboost) (1.7.1)\n",
      "Requirement already satisfied: pandas>=0.24.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from catboost) (1.3.4)\n",
      "Requirement already satisfied: matplotlib in c:\\users\\user\\anaconda3\\lib\\site-packages (from catboost) (3.4.3)\n",
      "Requirement already satisfied: numpy>=1.16.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from catboost) (1.20.3)\n",
      "Collecting plotly\n",
      "  Downloading plotly-5.10.0-py2.py3-none-any.whl (15.2 MB)\n",
      "Requirement already satisfied: pytz>=2017.3 in c:\\users\\user\\anaconda3\\lib\\site-packages (from pandas>=0.24.0->catboost) (2021.3)\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in c:\\users\\user\\anaconda3\\lib\\site-packages (from pandas>=0.24.0->catboost) (2.8.2)\n",
      "Requirement already satisfied: pyparsing>=2.2.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from matplotlib->catboost) (3.0.4)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\user\\anaconda3\\lib\\site-packages (from matplotlib->catboost) (1.3.1)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\user\\anaconda3\\lib\\site-packages (from matplotlib->catboost) (0.10.0)\n",
      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\user\\anaconda3\\lib\\site-packages (from matplotlib->catboost) (8.4.0)\n",
      "Collecting tenacity>=6.2.0\n",
      "  Downloading tenacity-8.0.1-py3-none-any.whl (24 kB)\n",
      "Installing collected packages: tenacity, plotly, graphviz, catboost\n",
      "Successfully installed catboost-1.0.6 graphviz-0.20.1 plotly-5.10.0 tenacity-8.0.1\n"
     ]
    }
   ],
   "source": [
    "pip install catboost"
   ]
  }
 ],
 "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}