| 1. | Dawn of War 2 Campaign: Day 3 | 0 | |
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| 2. | Dawn of War 2 Campaign: Day 6 | 0 | | Warhammer 40,000: Dawn of War II
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| 3. | SC2 - WOL 12_1: Ghost of a Chance (New Folsom) | 0 | | StarCraft II
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| 4. | V4/V8 Operators and Conditional Statements | 1 | |
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| 5. | V6/V8 Python Functions | 0 | |
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| 6. | Darksiders 1: Part 1 - Prologue | 0 | | Darksiders
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| 7. | FastAPI Tutorial 1: Intro, Setup Local Environment and Install FastAPI | 0 | |
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| 8. | Doom Eternal Level 4: Doom Hunter Base (All Collectibles) | 0 | | Doom Eternal
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| 9. | ML1: Regression | Line by Line Code Implementation in Python | 0 | |
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| 10. | Pandas Data Visualization Tutorial (with line by line code) - V_5 | 0 | Tutorial |
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| 11. | Doom Eternal Level 5: Super Gore Nest (All Collectibles) | 0 | | Doom Eternal
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| 12. | Doom Eternal Level 3: Cultist Base (All Collectibles) | 0 | | Doom Eternal
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| 13. | SC2 - WOL 11: The Great Train Robbery (Tarsonis) | 0 | | StarCraft II
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| 14. | SC2 - WOL 15: Media Blitz (Korhal) | 0 | | StarCraft II
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| 15. | Dawn of War 2 Campaign: Day 1 | 0 | | Warhammer 40,000: Dawn of War II
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| 16. | V2/V8 Data Types, Variables, Constants & Typecasting | 1 | |
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| 17. | Dawn of War 2 Campaign: Day 5 | 0 | | Warhammer 40,000: Dawn of War II
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| 18. | ML2: Classification | Line by Line Machine Learning Code Implementation in Python | 1 | |
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| 19. | Dawn of War 2 Campaign: Day 2 | 0 | | Warhammer 40,000: Dawn of War II
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| 20. | SC2 - WOL 21_2: Shatter the Sky (Char) | 0 | | StarCraft II
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| 21. | V1/V8 Install Anaconda, Python and Create Virtual Environment | 2 | |
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| 22. | Dawn of War 2 Campaign: Day 9 | 0 | | Warhammer 40,000: Dawn of War II
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| 23. | V7/V8 Reading from and Writing to Files | 0 | |
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| 24. | SC2 - WOL 22: All In (Char) | 0 | | StarCraft II
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| 25. | SC2 - WOL 12_2: Breakout (New Folsom) | 0 | | StarCraft II
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| 26. | Dawn of War 2 Campaign: Day 10 | 0 | | Warhammer 40,000: Dawn of War II
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| 27. | V3/V8 Data Type Methods | 1 | |
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| 28. | SC2 - WOL 16: Piercing the Shroud | 0 | | StarCraft II
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| 29. | SC2 - WOL 17: Moebius Factor (Tyrador VIII) | 0 | | StarCraft II
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| 30. | V5/V8 Loops: while loop and for loop and list and dictionary comprehension | 0 | |
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| 31. | Dawn of War 2 Campaign: Day 4 | 0 | |
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| 32. | V8/V8 Object Oriented Programming | 1 | |
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| 33. | ML3: Univariate Anomaly Detection (Statistical Methods) | Line by Line Code Implementation in Python | 3 | |
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| 34. | SC2 - WOL 13: Cutthroat (Deadman's Port) | 1 | | StarCraft II
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| 35. | SC2 - WOL 10: Welcome to the Jungle (Bel'shir) | 1 | | StarCraft II
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| 36. | SC2 - WOL 7: Devils's Playground (Redstone III) | 1 | | StarCraft II
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| 37. | SC2 - WOL 2: The Outlaws (Mar Sara) | 1 | | StarCraft II
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| 38. | SC2 - WOL 6: Smash and Grab (Monlyth) | 1 | | StarCraft II
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| 39. | V0/V8 What is Python ? A short introduction to the playlist. | 3 | |
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| 40. | Plotly Level-2 Visualization Tutorial (with line by line code) - V_4 | 1 | Tutorial |
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| 41. | SC2 - WOL 14: Engine of Destruction (Valhalla) | 1 | | StarCraft II
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| 42. | SC2 - WOL 3: Zero Hour (Mar Sara) | 1 | | StarCraft II
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| 43. | SC2 - WOL 1: Liberation Day (Mar Sara) | 1 | | StarCraft II
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| 44. | SC2 - WOL 21_1: Belly of the Beast (Char) | 1 | | StarCraft II
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| 45. | SC2 - WOL 5: Outbreak (Meinhoff) | 1 | | StarCraft II
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| 46. | SC2 - WOL 9: The Dig (Xil) | 1 | | StarCraft II
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| 47. | Plotly Level-1 Visualization Tutorial (with line by line code) - V_3 | 1 | Tutorial |
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| 48. | SC2 - WOL 8: Safe Haven / Fall Haven (Haven) | 1 | | StarCraft II
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| 49. | Folium Leaflet Maps Tutorial (with line by line code) - V_6 | 1 | Tutorial |
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| 50. | Dawn of War 2 Campaign: Day 6 | 1 | | Warhammer 40,000: Dawn of War II
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| 51. | SC2 - WOL 18: Supernova (Typhon XI) | 1 | | StarCraft II
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| 52. | ML4: Univariate Anomaly Detection (Machine Learning) | Line by Line Code Implementation in Python | 12 | |
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| 53. | SC2 - WOL 19: Maw of the Void (Sigma Quadrant) | 2 | | StarCraft II
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| 54. | Matplotlib Visualization Tutorial (with line by line code) - V_1 | 2 | Tutorial |
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| 55. | ML5: Multivariate Anomaly Detection | Line by Line Machine Learning Code Implementation in Python | 13 | |
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| 56. | Data Visualization Series Intro - V_0 | 2 | |
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| 57. | Doom Eternal Level 1: Hell on Earth (All Collectibles) | 2 | | Doom Eternal
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| 58. | Doom Eternal Level 2: Exultia (All Collectibles) | 2 | | Doom Eternal
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| 59. | SC2 - WOL 4: The Evacuation (Agria) | 2 | | StarCraft II
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| 60. | Seaborn Visualization Tutorial (with line by line code) - V_2 | 3 | Tutorial |
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| 61. | FastAPI Tutorial 3: Data Validation, Optional & Objects as Parameters in FastAPI using Pydantic | 3 | |
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| 62. | Implement Pretrained VGG16 Tensorflow Keras Model on Intel Image Dataset on Kaggle from Scratch | 3 | |
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| 63. | SC2 - WOL 20: Gates of Hell (Char) | 3 | | StarCraft II
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| 64. | Altair Data Visualization Tutorial (with line by line code) - V_7 | 3 | Tutorial |
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| 65. | ML6: Clustering | Line by Line Machine Learning Code Implementation in Python | 10 | |
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| 66. | Use Kaggle API to Browse and Download Datasets DIRECTLY !! | 7 | |
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| 67. | Sentiment Analysis in MAX 6 Lines of Code using Spacy,/Vader/TextBlob (with Subjectivity Analysis) | 7 | |
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| 68. | FastAPI Tutorial 2: Perform CRUD operation in FastAPI using GET, POST, PUT and DELETE methods | 8 | |
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| 69. | Build a Custom Convolutional Neural Network using PyTorch from Scratch on a Kaggle Image Dataset | 8 | |
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| 70. | FastAPI Tutorial 4: Use Custom Status and HTTP Exception Handling in FastAPI | 12 | |
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| 71. | Implement Custom Tensorflow Keras Model on Intel Image Dataset on Kaggle from Scratch | 20 | |
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| 72. | Implement a PreTrained (ResNet18) CNN Model using PyTorch from Scratch on a Kaggle Image Dataset | 47 | |
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