{
  "fetched_at": "2026-10-24T07:01:25Z",
  "source_url": "https://www.kaggle.com/competitions/2018mlintersession/data",
  "pages": [
    {
      "name": "rules",
      "content": " - Don't cheat\n - Apply yourself\n - Have fun\n\n- look things up and keep trying if it is hard",
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      "content": "<p> Instead of storing this in a CSV, I stored this as a pickled numpy array file inside the dictionary. Just to make your life a little bit easier. \nTake a look at the sample kernel to see how to get started.</p>\n\n<br>\n\n<p> Inside the dictionary, there are the images (2D ndarray) and the labels(also a numpy array but 1D this time). The images are under the \"images\" label and the labels under the \"labels\" data. Not difficult. </p>\n",
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    {
      "name": "Description",
      "content": "<p>C̸̛͙̦̬͗̈̃ŏ̸̹̀̋̕m̴̝̘͎̓̕ṕ̴̝̘͆̚e̸͉͛̈́͗t̵̯̞͎͐͊̉̋i̸̮̼͝ͅt̷̳͎̺̐̾͝i̵̞̾ǭ̷̰̣̊n̸̠̗͇͕̓̇̇̅ ̵̯͍̲͖͆D̶͎̼̗́͗̔ė̶͎͕̗s̷͒́͝ͅc̷̳̹͈̯͝ŕ̵̝́͐̔î̵̳̄p̴̡̟͑̿̈́͜t̴̤̏̾̈́͆i̸͙̝̦͆̂̍o̶̤̩̟͛̋̌̚n̸̯̘͐̋̐͝\ṉ̸̲̰͒̅Ṃ̶̰͇͈̚Ń̶͔̭̚Ḭ̶̢̜̑̃͜͝Ṣ̴̦͕̿͘̚T̷̲̞̾͂͜͝ ̵͈̪͑(̷̝̟̹̈̽͝\"̶̝̱̱͋͜M̶̘̗̕͜o̸͍̝͙̓͛̇̅d̶͔͒̄ȋ̴̹͎̘͂͒̕f̶̪̱̻̍ͅi̸̮̅ę̵̗̀d̷͖̗̕͠ͅ ̴̛̮͂Ñ̷̪̔a̷̡͓͎̠͝t̴̳̬͓̓́̈́̕i̶̖͈̊̈̋̓ͅo̷͖̘͐͂͠n̷͉̼̐̇̓͜͠a̸͕̻̥̅̏̿̚ͅl̴̰̻̓̄̀̀ ̴̼̟̍͗̚Ī̸̢̮͛n̷͎͎̄̽̍̆ͅs̸̲̝̜̿́t̶͙͙̩̆́i̵̞͊͊t̵̺̾̂́ű̸̢̞̔͆̄t̸̩̺̊̈́̈́́ͅe̵̥̙̭͆̔ ̴̫͎̬͛̽͠o̴̬͚͘ͅf̷̣̈ ̶̳͉́̃̚̚͜S̶̪͊ẗ̴͖̖̭͙́͆a̶͕̾̒͐n̶͕͂̍̍d̴̗̾ä̵̜̝́̇͊̍r̶̺͍͚̲̓d̸̫̑s̴͉̬̫̿̓ ̵͖̹̎͛͊̂a̷̮̘̅n̷̢͖̩̿d̸͕̹̰͖͆̀ ̷͕̀Ţ̴͚͉̹̾é̶̮̜͙c̶̩̳̠̾ḩ̷̦͆̐̾͠n̶̢̨̡͊̐o̷̯͆̅͗͂l̵̪̮̊ŏ̶̝̮͍̫g̴̜̓y̸̡͍̿͛͗\"̶̫̕̚)̵̫̭͌̐̋ ̶̥̈̍̚ï̸̗̺̊̑͝s̴̼̈́̚ ̷̪́̽̽͝t̴̛̗͒h̵͇͈̬̚e̵̛͙͖͌̌ ̶̡̧̘̲̈͋̀̚d̴̥̋̒̕e̸̥͎͋̔̓̚ ̵̢̡̖̬͊͂̂f̴͙͆͝ą̸̟̽͠c̵̭͊̿t̸̖̆̊͂̔ö̴̘̤̱́̍͜ ̶̥̗̙̐̕“̴̤̬̠̮̇̀h̵̥͖̏ė̶̖͜l̷̝̔̓̔l̴͕̑̈o̶̼̺͎̱͛̀͝ ̴̼͚̃̀w̵̥̘̖͍̑̐́o̸͈̱̘͚̓̓́r̷̛̤̔l̵͕̽͗͑d̴͇̆́̚”̴̘̫̺̍͌̌ ̶̮͐͘d̷̍͝ͅa̴͔̓t̸͚̹̐ͅȃ̷͕̑s̶̭͂è̷̖͜͠t̸͉̹͠ ̸̠̘̓͑ǒ̷͎̘̋̐̿f̶̲̈́̔ ̷̛͖̭̟c̴͇̀̇o̶͔̪͛̅͗m̶͓̬̔̊̈̕ͅp̶̡̅̚͝ụ̶̳̰̗͗̂t̷̯̦͉͌̋͛ẹ̶͕̈́ŗ̴̰͙̾̑͆ ̶̢͎̭̌ṽ̶͚i̵̭̪̿s̷̮̯̒i̶̗̝̾̔͛̚ō̶̟̊̃ṉ̷̬̣̍.̷̢̓ ̸̣̯͚͙͗́̎Ś̶͈̣ì̶̢̦͇̋̕n̴͚̥̯͆̏̓c̸̢̯̬̬̃ĕ̶̥͇ ̵̭͊ỉ̶͎̱̾t̴̥͓͇͈͘̕s̴̗̯̓ ̵̰̀̏͝r̷͍̚é̴̤͖͔̥̚l̸̟̹͍̮̅e̵̺͛͊̔ȁ̸͍͔͌̕s̸̜͔͊é̴̼͎̹͖̑ ̶̥̟͚̎̃̾͜i̵̻͈̐͗̕͜ņ̴͚͎̎̎̅ ̶͖̰̃̽̎̚1̸̲̲̯̃9̷̹̐9̸͉̦̒̚9̵̮̟̺̖̐̃̑,̸̝̞̝̖̈́̓ ̷̝͔̆̐̅́t̸̝̽ḧ̴̦͍̯́̈́̿i̸̮̫͐̎s̸̝͊̽̒ ̵͖̝̦̐̿̚͠c̵̝͈̬̋͝l̵̞̣̈́͆̓a̷͙̖̻͊͐͒̊s̷̲͓̠̳̉́s̶͔̚i̶̗̭͉̔̇͘̕c̵̟̯͋̐͌̐ ̶̪̳͙̓̔̿͆d̷̡̤̦͋̋͒a̶̜̒͜t̵̨̲̞̣̾̈́͒̾ä̶̖̮̗͖́s̴̜̖̃ë̷̲͕̼́ṫ̸̨̹̭͊̆ ̷͚̝̊̈́͆̒ỏ̸̭̬̫̍̿f̵͖͗̍ ̸͛͗͛͜ḧ̵͎̩́̄̕a̵̧͕͉̹͊́n̴͓̹̑͐͛͘ḓ̴͉͂͝ẅ̷͇̰͒͒̀r̷̠̠̖͋i̷̡͉͔͌͌t̵̻̞͇̪͋̋͑t̴̤̳̅̀͑͛ͅe̴̺̦͋͊n̶̨̺̮̊̀̆̈ ̵̤͂̓i̸̧̖̰̕m̶̱͐̈́́̏ȧ̴̳̐̿̕ͅg̵̖̲̋̍̄ȅ̵̛͓̰̕š̷̨̡̼̪̿̋͌ ̵̢̨̉̏h̵̳̼̄a̶̪̔s̵̭̗̓͠͝ ̵͔͎̣̈͛ͅs̶̙͈̐́͒͐e̸̖̲͗̓͝r̴͇̠̰̎v̸̜̞̘̲̀̀̏̀ë̵̢͔́̈̚d̷̰̘͑́̑͋ ̶̪̺̗̺̉̈́͗͒ȃ̷̠͎̺̂͠s̸̛͕͋̏ͅ ̸̨̬͙͠t̷͕͍͆̀ͅͅh̶͇̋̂͠e̶͕͓̕͠ ̵̢̩̙̤͒̒͑̄b̴̨͎̯̓͑a̵͎̭͐͆̎s̴̛̜̐͘ỉ̵̱̲͇̯̐͝͝s̸̲̤̄ ̵̢̫̥̒͠͝͠f̵̧͎̞̍͜o̸̢̢̙͚͐r̴̯̺̈́̐͝ ̶͍̮̹̈́́͘͠b̷̨̲̈́͒͐͛e̴̢͓͖̯͛̚n̴̢̨͙̯̽c̶͎̣̼̲̍͛h̷̛̩̼͉͇m̶̱̬̘̏̋̄͝a̷̼͒r̶͇̠͠k̷̗͛̔į̸̦̑͒̎n̴̛̟̻͠ģ̶̤̫̩͊ ̸̗͇̪̗̐̐c̷̟̞̯̰̓l̵͔̻͆a̵͚͕̗̍ṣ̶̣̘͌̽ͅs̴̻̩̝̐i̶͖͉̯͊f̶̮̖̊ͅĭ̸̡̟͑c̴̮̪͔̗̅͝a̸̹͇̠̣̓͆͝ṭ̵͋ḯ̸͇͛̕͠o̴̞̗̾́͝n̷̢͕̭͓͛̅̚ ̵͔̥̗͔͂̍à̴͍̗͓͙l̸̨̠̬͉̽̅g̶̛̦̱̗̈́͌͝o̴͓̥̾́r̸̢̳͉̻̾í̶̻̫̈́t̶̼̠̤̩͒̐̾͠ḫ̴̡̗̑̇̚ḿ̴͖̤̟̥̚ş̶̛̛̗̣̈́.̵͚̺͂͗̉ ̵̱̺͌̀͛͝A̷̛͎͎̦̅͗͝s̴͎͍̯̔͝ ̶̥̫̈ṇ̴͂̽̄e̶̳͌w̴̳̤̎̆̃̐ͅ ̴̮̼͛m̶͙͔̄͋a̴̡͍̤̅̍̉̑c̵͇̯̬̼̑ḧ̴̢͇́͆͝ï̵͉̇̎͠n̵̗͒ȩ̸̯̖̹̊ ̷͖͉̜̽ĺ̵̢̛͖̹̈́é̶̙̎̊̿á̵̢̜͍̦́̾̎ŕ̴̝̪̘̽ͅn̴̨̪͕̍̓̾i̴̘͕̚ͅn̴̹̝͖͇̐g̵̻̞͓̍̓̾̚͜ ̴͒̈́͂͛͜ţ̸̛͎̓̉ȇ̷̳͚̋̂́c̵̢̪̥̙̐ḥ̴̡̩̀n̶̪̓̎̑̓i̷͇̙͙͛q̶̧̦̻̀̄͜u̸̩̳̦̍e̵̖̹͓̾̃ͅś̵͔ ̵͓̪̪̄͐ĕ̵͓̺̼̽m̷̲̉̾͛͝e̷̲̲̜͝ȓ̷̰́͐̈́g̵̼͕̀̈́̾ė̴̗͈̼,̶̲̖͋ ̴̰̺̋̚̕ͅM̷̝͒̊Ń̶͇̼́̿I̵͇͉͌͂S̸̠̒͒T̶̰̩̭̊͂ ̸̠̙̐̀͝ŗ̶͙͛͗͝e̷͈̭̟̼̒́́̄m̴̝͗̇à̷̘̭̩͇ì̴̦̰̂͑͝n̵̪̑̚̕s̴̖̼̘͒ ̵̞̑͑̚ä̴͉́̅͘ ̶̹̩͕̥͒̓r̶̝͕̿͐̈é̴͈l̶͈̰̥̆̍͊í̸̛͙͊̂ą̸̬̌̄̾b̴̹͉͎͈͑́͋͊l̷̖̊ë̴̢͉̣́̏͠͠ ̷̡̨͉̓ŗ̸̙̦̙̃͛͌ê̸̻s̷̗̝͕͕̏̎o̶̢͋͝u̶͙̓̔̀̐r̴̥̄̀̇̕ć̴͓̥͒͘e̸̛̫̝̖̳̊̉ ̸̼͕͂̂͘f̶̢̄o̷̺̻͎̳͐̓̇r̵̕͜ ̶͎͕͉̪̑r̶̯̿̏͝e̶͍̊̈́͠s̴̻̘͉̿͜e̴̼͎̞͑̋͆ä̸̩̦́r̸̠̣̟̋̑͋c̷̨̡̙͗͛̇ḧ̴̖́̈́è̷̺̠͚r̷̗̔͊͜s̶̠̳̺̑ ̵͖̱̮͒ả̵͖̩̪ͅn̵͔̓͆̈͑ḋ̴̛̪̗͚ ̵̱͉̎̀ĺ̷̡̻͘ȩ̴̡̧̺̐ą̶̥͉̳̀̌͛r̸̩͍̙̺͋ň̸͓é̸̘͕͖̟̈́r̴̜̿̓̀͠s̸̛̯̝̓ ̷̬̱̈́a̶͓̳̰̓l̶̢̦̫̪͛̉̆̐i̷͓̟̟̍͝k̵̗̟̿̌e̶̬͇͐͗͝.̶̻̩̬̑\n̶̛̤̹̒̕͝Ì̴̩n̵͉͈̥̰̒̊ ̸͕̾͠t̸̳͈̒h̷̟̭̅̓́i̵͇͕̖̜͊̑̋š̵̩͋̊ ̸̜̦̮̿̍̎c̴̱̹͒o̸͖͖͂̒̾͠m̷̼̼̙̿̋̌̎͜p̷̖͛͒ȩ̷͉́̑̕̕t̵͍͉͒͌̿i̸͉̽̅͘t̴͕̱͖̺̽̄i̶̟̎̉o̴̤̮̞͍͗͐͑ñ̸͎̦̻,̴̣͎̀ ̸͈͊̅͌͆ŷ̷̨͎o̸͙͊̀u̸̡͓̼̐̓̃r̷͇̩̺͊̓ͅ ̸̨̟̙̪̾̿́͋g̸̟̼̠̔o̴͈͑̉̽ã̷̛͕͆ļ̸̮̆̀̽͜ ̶̥͙̯̲̂̎͑ĩ̷̞̮͍̙̑s̷̢̗͉̊̍ ̷͖̔̇͑t̸̼̆o̴̬͙̤̦̾̐̂̏ ̶̢̯̽͋̎c̴͉̥̩̪̀ő̷̝̈́ř̷̬͇̰r̴̖̉͊̓̑ę̸̀̍c̴̠̗͕͕̊̕ţ̴̡̮̃̈̌l̴̼̺̰̑̚͝y̶̖̲̐̅͋͝ ̶̺̥̙̈́ǐ̷̫͋d̷̖͈̪͗͑͠e̴͕̭̰̙̋̌́ǹ̸̦̮t̵̠̹͕̅́͒̎͜ȉ̵̢̝͎̄͆͜f̵͍̦̱̎̑͑y̵̖͐͊̔̉͜ ̶̣̇d̸̪͕̫̈̇̿̀ͅì̴͖̻̥̺g̵̯̀͑̾͛ì̴̧̖̗̕̕ẗ̷̙̪́͠ŝ̴͉͝ ̸̨̣́̾f̷̯͕͖̳̊r̸̯̱͚͗̽̀o̷̰͆͝m̵̗̐̀͆͠ ̵̻͆̏̿a̷̧̪̖͇͋ ̵̰̘̘͛̈́͐̈ͅd̷̤̀̊̈́́ȧ̵͔̈̔t̴͙̳͔̻͆̎̓̚ȁ̵̗̜̜̱͂͝ś̴̥͖̘̐͜ȇ̵̢̲̞̘̂̏̚t̷͔͈̎ ̷͚̒́o̷͈͉̹͐̓̾f̴͓͔͍̈ ̸̡̗͔͎̈́̂͂͠t̴̨̳̑͌ĕ̵͕͓͆̀͝ͅn̸͖͍͕̜͑͠š̴̻͆͘ ̴͚̮̞̌͝o̶͔̞̎f̸̢̮̭͊̅͜ ̶̹̍̑͗͆t̴̢̨͔͉̏̀̈͛ȟ̶͚̠̦͛o̷̱̦͔̗͆̒̀̐u̶̟̫͖̔š̴̤̩͓̦͊͌â̴̡̛̝͝n̶̦̩̎̽̑͝ḍ̷̨̡͛̏͛s̶͉̲̮̽͋̔ ̸̢̱͎̙̉̑̔o̸̫͗̊̃̔f̵̻̑̉ ̴̦͛h̸͕̏̊͝a̶̞̭̺͑͛̅n̴̩͙̦͒̚̕d̸̺̼̆ẉ̴̨̥̪̂r̶̭͇͋i̸̜̫̭͓̔t̵̹͎͗͑t̶̫͉̽̀ę̷̡̱̄n̸̥̮̘͕̑̓ ̷̜͍̘̄̔̇͠ḯ̶̳̜͆̃͗ṁ̷̡͕͔͖̐͝͝a̵̖̿͝g̶̢̮̞̉̉͜͠è̶͎͎͓̜̒̄͒s̷̑͊ͅ.̶̥̫͌ ̷̧̠̽̍</p>",
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    },
    {
      "name": "Evaluation",
      "content": "<p>The evaluation of the competition will be based off of accuracy, as it is a fairly good metric given that our data is well-distributed </p>",
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