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1 | 1 | {
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2 | 2 | "Winter 2024": [
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3 | 3 | {
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4 |
| - "label": "Codenames" |
| 4 | + "label": "Codenames", |
| 5 | + "googleSlides": "https://docs.google.com/presentation/d/1EEHSw-WKN6Oes6NFfYK7iZHj91J1CgmHiiV8aO99r6I/" |
5 | 6 | },
|
6 | 7 | {
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7 |
| - "label": "LLM Augmentation" |
| 8 | + "label": "LLM Augmentation", |
| 9 | + "github": "https://github.com/MichiganDataScienceTeam/W24-llm-augmentation" |
8 | 10 | },
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9 | 11 | {
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10 | 12 | "label": "Poker Bot"
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11 | 13 | },
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12 | 14 | {
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13 |
| - "label": "Rate My Professor Sentiment Analysis" |
| 15 | + "label": "RMP Sentiment Analysis", |
| 16 | + "github": "https://github.com/MichiganDataScienceTeam/WN2024-RMP" |
14 | 17 | },
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15 | 18 | {
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16 |
| - "label": "Real vs Fake Faces" |
| 19 | + "label": "Real vs Fake Faces", |
| 20 | + "github": "https://github.com/MichiganDataScienceTeam/W24-RvF" |
17 | 21 | },
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18 | 22 | {
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19 | 23 | "label": "Shazam Clone"
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22 | 26 | "label": "Spotify Analysis"
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23 | 27 | },
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24 | 28 | {
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25 |
| - "label": "Stock Market Analysis" |
| 29 | + "label": "Stock Market Analysis", |
| 30 | + "github": "https://github.com/MichiganDataScienceTeam/W24-StockAnalysis" |
26 | 31 | },
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27 | 32 | {
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28 |
| - "label": "TikTok Videos" |
| 33 | + "label": "TikTok Videos", |
| 34 | + "github": "https://github.com/MichiganDataScienceTeam/W24-TikTokVideos" |
| 35 | + }, |
| 36 | + { |
| 37 | + "label": "Neural Nets from Scratch", |
| 38 | + "googleSlides": "https://docs.google.com/presentation/d/1eygF8pf7d1f8UMB-v2oypFPFSCwICGlTM48-deNqibI/" |
29 | 39 | }
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30 | 40 | ],
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31 | 41 | "Fall 2023": [
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32 | 42 | {
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33 | 43 | "label": "Automated Poker Bot"
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34 | 44 | },
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35 | 45 | {
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36 |
| - "label": "College Football Success Factors" |
| 46 | + "label": "College Football Success Factors", |
| 47 | + "googleSlides": "https://docs.google.com/presentation/d/1tmIdFj_GK67cwrD3ueg2BlnUTtP9SWHVOYZPKaXCI5A/" |
37 | 48 | },
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38 | 49 | {
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39 | 50 | "label": "Cracking Wordle"
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45 | 56 | "label": "NHANES"
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46 | 57 | },
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47 | 58 | {
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48 |
| - "label": "Real vs Photoshopped Faces" |
| 59 | + "label": "Real vs Fake Faces", |
| 60 | + "github": "https://github.com/MichiganDataScienceTeam/W24-RvFF" |
49 | 61 | },
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50 | 62 | {
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51 |
| - "label": "Reinforcement Learning" |
| 63 | + "label": "Reinforcement Learning", |
| 64 | + "github": "https://github.com/MichiganDataScienceTeam/F23-Reinforcement-Learning", |
| 65 | + "googleSlides": "https://docs.google.com/presentation/d/1d4I_1fqJCD7ZppEVOkYuTzfMbQ8NKCpYjbQkIEoSwNk/" |
52 | 66 | },
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53 | 67 | {
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54 | 68 | "label": "Sentence Completer"
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55 | 69 | },
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56 | 70 | {
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57 |
| - "label": "Webscraping" |
| 71 | + "label": "Webscraping", |
| 72 | + "github": "https://github.com/MichiganDataScienceTeam/F23-Webscraping" |
58 | 73 | }
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59 | 74 | ],
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60 | 75 | "Winter 2023": [
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91 | 106 | ],
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92 | 107 | "Fall 2022": [
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93 | 108 | {
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94 |
| - "label": "College Football" |
| 109 | + "label": "College Football", |
| 110 | + "googleSlides": "https://docs.google.com/document/d/1aD0UfCwea5I35nqoAEfS0PNpnzrAv3LX-X4kTCLVuu4/" |
95 | 111 | },
|
96 | 112 | {
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97 |
| - "label": "Dogs vs Cats" |
| 113 | + "label": "Dogs vs Cats", |
| 114 | + "googleSlides": "https://docs.google.com/presentation/d/1p-nNSJNfZd09ApFk05hJZfRlY2Z8PlsiVTgp0i6_U44/" |
98 | 115 | },
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99 | 116 | {
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100 |
| - "label": "Image Super Resolution" |
| 117 | + "label": "Image Super Resolution", |
| 118 | + "googleSlides": "https://drive.google.com/file/d/1cKrjVCl-M5wXzARgPMj8Gr-foZpEkIS_/" |
101 | 119 | },
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102 | 120 | {
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103 | 121 | "label": "Language Translation Application"
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104 | 122 | },
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105 | 123 | {
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106 |
| - "label": "Pokemon Data Science" |
| 124 | + "label": "Pokemon Data Science", |
| 125 | + "github": "https://docs.google.com/presentation/d/1vgOGh7djJRqNI7Ihf-R4ZZh7ON_KlCtCsHYucy0Aujk/" |
107 | 126 | },
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108 | 127 | {
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109 |
| - "label": "SEC Insider Information", |
110 |
| - "github": "https://github.com/MichiganDataScienceTeam/F22-SEC-Insider-Trading" |
| 128 | + "label": "SEC Insider Trading", |
| 129 | + "github": "https://github.com/MichiganDataScienceTeam/F22-SEC-Insider-Trading", |
| 130 | + "googleSlides": "https://docs.google.com/presentation/d/1dfPMDMX9n3X6GxDN9UDY6cfULwg4e-BLKfpSPziidKY/" |
111 | 131 | },
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112 | 132 | {
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113 |
| - "label": "Sports Data Science" |
| 133 | + "label": "Sports Data Science", |
| 134 | + "googleSlides": "https://docs.google.com/presentation/d/1q_kJey90QQsP4Nm5b96o5NVMg4gRgbTqe9THJfaXle0/" |
114 | 135 | },
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115 | 136 | {
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116 |
| - "label": "TLDR Machine" |
| 137 | + "label": "TLDR Machine", |
| 138 | + "googleSlides": "https://docs.google.com/presentation/d/1dmCTwBANTU1W1ik5dSXuwD5ycRRRCtjyiQzMFE2zDgs/" |
117 | 139 | },
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118 | 140 | {
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119 | 141 | "label": "Twitter Sentiment Analysis"
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