{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2d7298a2",
   "metadata": {},
   "source": [
    "# Machine Learning Introduction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: Run this cell\n",
    "print(\"Hello WebAIGenAcademy!\")\n",
    "\n",
    "# add your name her"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: Create your first list of numbers\n",
    "\n",
    "numbers = [1, 2, 3, 4, 5]\n",
    "\n",
    "print(numbers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# TODO: Import NumPy\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "data = np.array([10, 20, 30])\n",
    "\n",
    "print(data)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (Pyodide)",
   "language": "python",
   "name": "python"
  },
  "language_info": {
   "name": "python"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
