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Jul 19th, 2018
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  1. {
  2. "cells": [
  3. {
  4. "cell_type": "markdown",
  5. "metadata": {},
  6. "source": [
  7. "# Seneca Applied Skills Exercise"
  8. ]
  9. },
  10. {
  11. "cell_type": "code",
  12. "execution_count": 4,
  13. "metadata": {},
  14. "outputs": [],
  15. "source": [
  16. "%matplotlib inline\n",
  17. "import numpy as np\n",
  18. "import pandas as pd\n",
  19. "import matplotlib.pyplot as plt\n",
  20. "import seaborn as sb\n",
  21. "\n",
  22. "# df = pd.read_csv(\"E:/train.csv\")"
  23. ]
  24. },
  25. {
  26. "cell_type": "code",
  27. "execution_count": null,
  28. "metadata": {},
  29. "outputs": [],
  30. "source": []
  31. }
  32. ],
  33. "metadata": {
  34. "kernelspec": {
  35. "display_name": "Python 2",
  36. "language": "python",
  37. "name": "python2"
  38. },
  39. "language_info": {
  40. "codemirror_mode": {
  41. "name": "ipython",
  42. "version": 2
  43. },
  44. "file_extension": ".py",
  45. "mimetype": "text/x-python",
  46. "name": "python",
  47. "nbconvert_exporter": "python",
  48. "pygments_lexer": "ipython2",
  49. "version": "2.7.14"
  50. }
  51. },
  52. "nbformat": 4,
  53. "nbformat_minor": 2
  54. }
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