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[FreeCourseSite.com] Udemy - Data science ,Analytics & AI Real world Project using Python

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视频 2022-7-25 15:39 2024-11-23 22:03 235 3.4 GB 43
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迅雷链接
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FreeCourseSite com Udemy - Data science Analytics & AI Real world Project using Python

文件列表
  1. 1. Welcome to this course !/1. Introduction to course & its benefits.mp442.2MB
  2. 1. Welcome to this course !/2. Utilize QnA Section , (Golden Opportunity ).mp49.38MB
  3. 1. Welcome to this course !/3. How to follow this course - must watch !.mp415.91MB
  4. 1. Welcome to this course !/4. Introduction to Jupyter Notebook.mp443.39MB
  5. 10. Machine Learning/1. Lecture 36.mp4109.65MB
  6. 11. Hypertuning of Machine Learning Model/1. Lecture 37.mp488.25MB
  7. 11. Hypertuning of Machine Learning Model/2. Lecture 38.mp4106.6MB
  8. 11. Hypertuning of Machine Learning Model/3. Lecture 39.mp473.23MB
  9. 3. Data Analysis & Basic stats/1. Perform Basic Stats on Data...mp462.41MB
  10. 3. Data Analysis & Basic stats/2. Lets Understand more about data !.mp471.87MB
  11. 3. Data Analysis & Basic stats/3. Checking for Duplicates questions in our data !.mp444.63MB
  12. 3. Data Analysis & Basic stats/4. Finding occurrences of each question...mp453.64MB
  13. 3. Data Analysis & Basic stats/5. Lets perform Text Analysis...mp494.68MB
  14. 3. Data Analysis & Basic stats/6. Lets perform Semantic Analysis...mp478.62MB
  15. 4. Feature Extraction for Data Science/1. find frequency of questions-ID.mp462.15MB
  16. 4. Feature Extraction for Data Science/2. Finding Length of questions.mp486.48MB
  17. 4. Feature Extraction for Data Science/3. How to Find common words in 2 strings...mp4102.9MB
  18. 4. Feature Extraction for Data Science/4. How to Find Total Words in 2 strings...mp472.41MB
  19. 4. Feature Extraction for Data Science/5. Lets Create some features using basic featurization...mp445.79MB
  20. 4. Feature Extraction for Data Science/6. Analysing distribution of data ( Basic EDA).mp495.98MB
  21. 4. Feature Extraction for Data Science/7. Finding Boxplot & Violinplot of data ( Basic EDA).mp4131.53MB
  22. 5. Data Pre-preocessing For Data ScienceML/1. How to Overcome with the contractions of data !.mp492.58MB
  23. 5. Data Pre-preocessing For Data ScienceML/2. How to remove special characters from data.mp4110.84MB
  24. 5. Data Pre-preocessing For Data ScienceML/3. Lets Remove Extra White-spaces in data...mp445.69MB
  25. 6. String matching in MLNLP/1. String Matching using fuzz ratio.mp476.1MB
  26. 6. String matching in MLNLP/2. String Matching using fuzz Partial ratio.mp480.24MB
  27. 6. String matching in MLNLP/3. String Matching using Token Sort ratio.mp465.82MB
  28. 6. String matching in MLNLP/4. String Matching using Token set ratio..mp452.3MB
  29. 6. String matching in MLNLP/5. String Matching using Longest sub-string...mp4109.53MB
  30. 7. Advance Feature Engineering in Data ScienceNLPML/1. Create some set of features like [ first_word , last_word & length_diff ].mp499.52MB
  31. 7. Advance Feature Engineering in Data ScienceNLPML/2. What are stopwords & how to remove it from data. .mp4124.16MB
  32. 7. Advance Feature Engineering in Data ScienceNLPML/3. Finding common_word_count_min & common_word_count_max.mp4112.4MB
  33. 7. Advance Feature Engineering in Data ScienceNLPML/4. Lecture 25.mp4102.33MB
  34. 7. Advance Feature Engineering in Data ScienceNLPML/5. Lecture 26.mp464.58MB
  35. 7. Advance Feature Engineering in Data ScienceNLPML/6. Lecture 27.mp463.83MB
  36. 8. Advance Data Analysis/1. Lecture 28.mp4109.02MB
  37. 8. Advance Data Analysis/2. Lecture 29.mp478.47MB
  38. 8. Advance Data Analysis/3. Lecture 30.mp4107.97MB
  39. 9. NLP (Natural Language Processing )/1. Lecture 31.mp485.69MB
  40. 9. NLP (Natural Language Processing )/2. Lecture 32.mp468.62MB
  41. 9. NLP (Natural Language Processing )/3. Lecture 33.mp487.44MB
  42. 9. NLP (Natural Language Processing )/4. Lecture 34.mp4123.4MB
  43. 9. NLP (Natural Language Processing )/5. Lecture 35.mp4124.98MB
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