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GetFreeCourses.Co-Udemy-Data science ,Analytics & AI Real world Project using Python

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文件列表

  1. 4. Feature Extraction for Data Science/7. Finding Boxplot & Violinplot of data ( Basic EDA).mp4 132MB
  2. 9. NLP (Natural Language Processing )/5. Lecture 35.mp4 125MB
  3. 7. Advance Feature Engineering in Data ScienceNLPML/2. What are stopwords & how to remove it from data. .mp4 124MB
  4. 9. NLP (Natural Language Processing )/4. Lecture 34.mp4 123MB
  5. 7. Advance Feature Engineering in Data ScienceNLPML/3. Finding common_word_count_min & common_word_count_max.mp4 112MB
  6. 5. Data Pre-preocessing For Data ScienceML/2. How to remove special characters from data.mp4 111MB
  7. 10. Machine Learning/1. Lecture 36.mp4 110MB
  8. 6. String matching in MLNLP/5. String Matching using Longest sub-string...mp4 110MB
  9. 8. Advance Data Analysis/1. Lecture 28.mp4 109MB
  10. 8. Advance Data Analysis/3. Lecture 30.mp4 108MB
  11. 11. Hypertuning of Machine Learning Model/2. Lecture 38.mp4 107MB
  12. 4. Feature Extraction for Data Science/3. How to Find common words in 2 strings...mp4 103MB
  13. 7. Advance Feature Engineering in Data ScienceNLPML/4. Lecture 25.mp4 102MB
  14. 7. Advance Feature Engineering in Data ScienceNLPML/1. Create some set of features like [ first_word , last_word & length_diff ].mp4 100MB
  15. 4. Feature Extraction for Data Science/6. Analysing distribution of data ( Basic EDA).mp4 96MB
  16. 3. Data Analysis & Basic stats/5. Lets perform Text Analysis...mp4 95MB
  17. 5. Data Pre-preocessing For Data ScienceML/1. How to Overcome with the contractions of data !.mp4 93MB
  18. 11. Hypertuning of Machine Learning Model/1. Lecture 37.mp4 88MB
  19. 9. NLP (Natural Language Processing )/3. Lecture 33.mp4 87MB
  20. 4. Feature Extraction for Data Science/2. Finding Length of questions.mp4 86MB
  21. 9. NLP (Natural Language Processing )/1. Lecture 31.mp4 86MB
  22. 6. String matching in MLNLP/2. String Matching using fuzz Partial ratio.mp4 80MB
  23. 3. Data Analysis & Basic stats/6. Lets perform Semantic Analysis...mp4 79MB
  24. 8. Advance Data Analysis/2. Lecture 29.mp4 78MB
  25. 6. String matching in MLNLP/1. String Matching using fuzz ratio.mp4 76MB
  26. 11. Hypertuning of Machine Learning Model/3. Lecture 39.mp4 73MB
  27. 4. Feature Extraction for Data Science/4. How to Find Total Words in 2 strings...mp4 72MB
  28. 3. Data Analysis & Basic stats/2. Lets Understand more about data !.mp4 72MB
  29. 9. NLP (Natural Language Processing )/2. Lecture 32.mp4 69MB
  30. 6. String matching in MLNLP/3. String Matching using Token Sort ratio.mp4 66MB
  31. 7. Advance Feature Engineering in Data ScienceNLPML/5. Lecture 26.mp4 65MB
  32. 7. Advance Feature Engineering in Data ScienceNLPML/6. Lecture 27.mp4 64MB
  33. 3. Data Analysis & Basic stats/1. Perform Basic Stats on Data...mp4 62MB
  34. 4. Feature Extraction for Data Science/1. find frequency of questions-ID.mp4 62MB
  35. 3. Data Analysis & Basic stats/4. Finding occurrences of each question...mp4 54MB
  36. 6. String matching in MLNLP/4. String Matching using Token set ratio..mp4 52MB
  37. 4. Feature Extraction for Data Science/5. Lets Create some features using basic featurization...mp4 46MB
  38. 5. Data Pre-preocessing For Data ScienceML/3. Lets Remove Extra White-spaces in data...mp4 46MB
  39. 3. Data Analysis & Basic stats/3. Checking for Duplicates questions in our data !.mp4 45MB
  40. 1. Welcome to this course !/4. Introduction to Jupyter Notebook.mp4 43MB
  41. 1. Welcome to this course !/1. Introduction to course & its benefits.mp4 42MB
  42. 1. Welcome to this course !/3. How to follow this course - must watch !.mp4 16MB
  43. 1. Welcome to this course !/2. Utilize QnA Section , (Golden Opportunity ).mp4 9MB
  44. 9. NLP (Natural Language Processing )/5. Lecture 35.srt 21KB
  45. 10. Machine Learning/1. Lecture 36.srt 21KB
  46. 6. String matching in MLNLP/5. String Matching using Longest sub-string...srt 19KB
  47. 4. Feature Extraction for Data Science/7. Finding Boxplot & Violinplot of data ( Basic EDA).srt 19KB
  48. 7. Advance Feature Engineering in Data ScienceNLPML/1. Create some set of features like [ first_word , last_word & length_diff ].srt 19KB
  49. 7. Advance Feature Engineering in Data ScienceNLPML/2. What are stopwords & how to remove it from data. .srt 19KB
  50. 7. Advance Feature Engineering in Data ScienceNLPML/3. Finding common_word_count_min & common_word_count_max.srt 18KB
  51. 8. Advance Data Analysis/1. Lecture 28.srt 18KB
  52. 9. NLP (Natural Language Processing )/4. Lecture 34.srt 18KB
  53. 11. Hypertuning of Machine Learning Model/2. Lecture 38.srt 18KB
  54. 9. NLP (Natural Language Processing )/1. Lecture 31.srt 18KB
  55. 8. Advance Data Analysis/3. Lecture 30.srt 18KB
  56. 5. Data Pre-preocessing For Data ScienceML/1. How to Overcome with the contractions of data !.srt 17KB
  57. 4. Feature Extraction for Data Science/3. How to Find common words in 2 strings...srt 17KB
  58. 7. Advance Feature Engineering in Data ScienceNLPML/4. Lecture 25.srt 17KB
  59. 11. Hypertuning of Machine Learning Model/1. Lecture 37.srt 16KB
  60. 5. Data Pre-preocessing For Data ScienceML/2. How to remove special characters from data.srt 16KB
  61. 4. Feature Extraction for Data Science/6. Analysing distribution of data ( Basic EDA).srt 15KB
  62. 9. NLP (Natural Language Processing )/3. Lecture 33.srt 15KB
  63. 3. Data Analysis & Basic stats/5. Lets perform Text Analysis...srt 15KB
  64. 6. String matching in MLNLP/1. String Matching using fuzz ratio.srt 14KB
  65. 8. Advance Data Analysis/2. Lecture 29.srt 14KB
  66. 9. NLP (Natural Language Processing )/2. Lecture 32.srt 14KB
  67. 6. String matching in MLNLP/2. String Matching using fuzz Partial ratio.srt 14KB
  68. 3. Data Analysis & Basic stats/1. Perform Basic Stats on Data...srt 14KB
  69. 3. Data Analysis & Basic stats/2. Lets Understand more about data !.srt 13KB
  70. 4. Feature Extraction for Data Science/2. Finding Length of questions.srt 13KB
  71. 11. Hypertuning of Machine Learning Model/3. Lecture 39.srt 12KB
  72. 3. Data Analysis & Basic stats/6. Lets perform Semantic Analysis...srt 12KB
  73. 7. Advance Feature Engineering in Data ScienceNLPML/6. Lecture 27.srt 11KB
  74. 4. Feature Extraction for Data Science/1. find frequency of questions-ID.srt 11KB
  75. 6. String matching in MLNLP/3. String Matching using Token Sort ratio.srt 11KB
  76. 4. Feature Extraction for Data Science/4. How to Find Total Words in 2 strings...srt 11KB
  77. 3. Data Analysis & Basic stats/4. Finding occurrences of each question...srt 10KB
  78. 7. Advance Feature Engineering in Data ScienceNLPML/5. Lecture 26.srt 10KB
  79. 3. Data Analysis & Basic stats/3. Checking for Duplicates questions in our data !.srt 9KB
  80. 6. String matching in MLNLP/4. String Matching using Token set ratio..srt 8KB
  81. 1. Welcome to this course !/4. Introduction to Jupyter Notebook.srt 8KB
  82. 4. Feature Extraction for Data Science/5. Lets Create some features using basic featurization...srt 8KB
  83. 1. Welcome to this course !/1. Introduction to course & its benefits.srt 7KB
  84. 5. Data Pre-preocessing For Data ScienceML/3. Lets Remove Extra White-spaces in data...srt 7KB
  85. 1. Welcome to this course !/3. How to follow this course - must watch !.srt 4KB
  86. 1. Welcome to this course !/2. Utilize QnA Section , (Golden Opportunity ).srt 3KB
  87. 2. Understanding the business problem/1. Datasets & Resources.html 181B
  88. 5. Data Pre-preocessing For Data ScienceML/Download Paid Udemy Courses For Free.url 116B
  89. 5. Data Pre-preocessing For Data ScienceML/GetFreeCourses.Co.url 116B
  90. Download Paid Udemy Courses For Free.url 116B
  91. GetFreeCourses.Co.url 116B