{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Data Science Resume & Portfolio Guide\n",
        "Xenors practice notebook. Run each cell and compare the output with the tutorial page.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Turn a weak bullet into evidence\n",
        "Resume bullets should show method, evidence and outcome.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "before='Built a churn model.'\n",
        "after='Built a churn pipeline with cross-validation, threshold tuning and FastAPI deployment; documented recall and business trade-offs.'\n",
        "print(after)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "**Expected/checkpoint**\n",
        "```text\nBuilt a churn pipeline with cross-validation, threshold tuning and FastAPI deployment; documented recall and business trade-offs.\n```\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "## Audit a portfolio README\n",
        "A reviewer should understand the project without opening every notebook.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {},
      "outputs": [],
      "source": [
        "sections=['Problem','Data','Method','Evaluation','How to run','Limitations']\n",
        "print('README checklist:', ', '.join(sections))\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "**Expected/checkpoint**\n",
        "```text\nREADME checklist: Problem, Data, Method, Evaluation, How to run, Limitations\n```\n"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "name": "python",
      "version": "3.x"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}