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

磁力链接/BT种子名称

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

磁力链接/BT种子简介

种子哈希：d2dcd088c6f004768fa1365d17d8eb3bbfa455d8
文件大小： 3.4G
已经下载：1488次
下载速度：极快
收录时间：2022-04-20
最近下载：2025-09-18

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文件列表

  • 4. Feature Extraction for Data Science/7. Finding Boxplot & Violinplot of data ( Basic EDA).mp4 137.9 MB
  • 9. NLP (Natural Language Processing )/5. Lecture 35.mp4 131.1 MB
  • 7. Advance Feature Engineering in Data ScienceNLPML/2. What are stopwords & how to remove it from data. .mp4 130.2 MB
  • 9. NLP (Natural Language Processing )/4. Lecture 34.mp4 129.4 MB
  • 7. Advance Feature Engineering in Data ScienceNLPML/3. Finding common_word_count_min & common_word_count_max.mp4 117.9 MB
  • 5. Data Pre-preocessing For Data ScienceML/2. How to remove special characters from data.mp4 116.2 MB
  • 10. Machine Learning/1. Lecture 36.mp4 115.0 MB
  • 6. String matching in MLNLP/5. String Matching using Longest sub-string...mp4 114.8 MB
  • 8. Advance Data Analysis/1. Lecture 28.mp4 114.3 MB
  • 8. Advance Data Analysis/3. Lecture 30.mp4 113.2 MB
  • 11. Hypertuning of Machine Learning Model/2. Lecture 38.mp4 111.8 MB
  • 4. Feature Extraction for Data Science/3. How to Find common words in 2 strings...mp4 107.9 MB
  • 7. Advance Feature Engineering in Data ScienceNLPML/4. Lecture 25.mp4 107.3 MB
  • 7. Advance Feature Engineering in Data ScienceNLPML/1. Create some set of features like [ first_word , last_word & length_diff ].mp4 104.4 MB
  • 4. Feature Extraction for Data Science/6. Analysing distribution of data ( Basic EDA).mp4 100.6 MB
  • 3. Data Analysis & Basic stats/5. Lets perform Text Analysis...mp4 99.3 MB
  • 5. Data Pre-preocessing For Data ScienceML/1. How to Overcome with the contractions of data !.mp4 97.1 MB
  • 11. Hypertuning of Machine Learning Model/1. Lecture 37.mp4 92.5 MB
  • 9. NLP (Natural Language Processing )/3. Lecture 33.mp4 91.7 MB
  • 4. Feature Extraction for Data Science/2. Finding Length of questions.mp4 90.7 MB
  • 9. NLP (Natural Language Processing )/1. Lecture 31.mp4 89.9 MB
  • 6. String matching in MLNLP/2. String Matching using fuzz Partial ratio.mp4 84.1 MB
  • 3. Data Analysis & Basic stats/6. Lets perform Semantic Analysis...mp4 82.4 MB
  • 8. Advance Data Analysis/2. Lecture 29.mp4 82.3 MB
  • 6. String matching in MLNLP/1. String Matching using fuzz ratio.mp4 79.8 MB
  • 11. Hypertuning of Machine Learning Model/3. Lecture 39.mp4 76.8 MB
  • 4. Feature Extraction for Data Science/4. How to Find Total Words in 2 strings...mp4 75.9 MB
  • 3. Data Analysis & Basic stats/2. Lets Understand more about data !.mp4 75.4 MB
  • 9. NLP (Natural Language Processing )/2. Lecture 32.mp4 72.0 MB
  • 6. String matching in MLNLP/3. String Matching using Token Sort ratio.mp4 69.0 MB
  • 7. Advance Feature Engineering in Data ScienceNLPML/5. Lecture 26.mp4 67.7 MB
  • 7. Advance Feature Engineering in Data ScienceNLPML/6. Lecture 27.mp4 66.9 MB
  • 3. Data Analysis & Basic stats/1. Perform Basic Stats on Data...mp4 65.4 MB
  • 4. Feature Extraction for Data Science/1. find frequency of questions-ID.mp4 65.2 MB
  • 3. Data Analysis & Basic stats/4. Finding occurrences of each question...mp4 56.2 MB
  • 6. String matching in MLNLP/4. String Matching using Token set ratio..mp4 54.8 MB
  • 4. Feature Extraction for Data Science/5. Lets Create some features using basic featurization...mp4 48.0 MB
  • 5. Data Pre-preocessing For Data ScienceML/3. Lets Remove Extra White-spaces in data...mp4 47.9 MB
  • 3. Data Analysis & Basic stats/3. Checking for Duplicates questions in our data !.mp4 46.8 MB
  • 1. Welcome to this course !/4. Introduction to Jupyter Notebook.mp4 45.5 MB
  • 1. Welcome to this course !/1. Introduction to course & its benefits.mp4 44.3 MB
  • 1. Welcome to this course !/3. How to follow this course - must watch !.mp4 16.7 MB
  • 1. Welcome to this course !/2. Utilize QnA Section , (Golden Opportunity ).mp4 9.8 MB
  • 9. NLP (Natural Language Processing )/5. Lecture 35.srt 21.4 kB
  • 10. Machine Learning/1. Lecture 36.srt 21.1 kB
  • 6. String matching in MLNLP/5. String Matching using Longest sub-string...srt 19.3 kB
  • 4. Feature Extraction for Data Science/7. Finding Boxplot & Violinplot of data ( Basic EDA).srt 19.2 kB
  • 7. Advance Feature Engineering in Data ScienceNLPML/1. Create some set of features like [ first_word , last_word & length_diff ].srt 19.2 kB
  • 7. Advance Feature Engineering in Data ScienceNLPML/2. What are stopwords & how to remove it from data. .srt 19.0 kB
  • 7. Advance Feature Engineering in Data ScienceNLPML/3. Finding common_word_count_min & common_word_count_max.srt 18.8 kB
  • 8. Advance Data Analysis/1. Lecture 28.srt 18.8 kB
  • 9. NLP (Natural Language Processing )/4. Lecture 34.srt 18.4 kB
  • 11. Hypertuning of Machine Learning Model/2. Lecture 38.srt 18.3 kB
  • 9. NLP (Natural Language Processing )/1. Lecture 31.srt 18.1 kB
  • 8. Advance Data Analysis/3. Lecture 30.srt 18.0 kB
  • 5. Data Pre-preocessing For Data ScienceML/1. How to Overcome with the contractions of data !.srt 17.9 kB
  • 4. Feature Extraction for Data Science/3. How to Find common words in 2 strings...srt 17.3 kB
  • 7. Advance Feature Engineering in Data ScienceNLPML/4. Lecture 25.srt 17.1 kB
  • 11. Hypertuning of Machine Learning Model/1. Lecture 37.srt 16.2 kB
  • 5. Data Pre-preocessing For Data ScienceML/2. How to remove special characters from data.srt 16.2 kB
  • 4. Feature Extraction for Data Science/6. Analysing distribution of data ( Basic EDA).srt 15.8 kB
  • 9. NLP (Natural Language Processing )/3. Lecture 33.srt 15.6 kB
  • 3. Data Analysis & Basic stats/5. Lets perform Text Analysis...srt 14.9 kB
  • 6. String matching in MLNLP/1. String Matching using fuzz ratio.srt 14.8 kB
  • 8. Advance Data Analysis/2. Lecture 29.srt 14.4 kB
  • 9. NLP (Natural Language Processing )/2. Lecture 32.srt 14.2 kB
  • 6. String matching in MLNLP/2. String Matching using fuzz Partial ratio.srt 13.9 kB
  • 3. Data Analysis & Basic stats/1. Perform Basic Stats on Data...srt 13.8 kB
  • 3. Data Analysis & Basic stats/2. Lets Understand more about data !.srt 13.8 kB
  • 4. Feature Extraction for Data Science/2. Finding Length of questions.srt 13.3 kB
  • 11. Hypertuning of Machine Learning Model/3. Lecture 39.srt 12.7 kB
  • 3. Data Analysis & Basic stats/6. Lets perform Semantic Analysis...srt 12.7 kB
  • 7. Advance Feature Engineering in Data ScienceNLPML/6. Lecture 27.srt 11.6 kB
  • 4. Feature Extraction for Data Science/1. find frequency of questions-ID.srt 11.5 kB
  • 6. String matching in MLNLP/3. String Matching using Token Sort ratio.srt 11.5 kB
  • 4. Feature Extraction for Data Science/4. How to Find Total Words in 2 strings...srt 10.8 kB
  • 3. Data Analysis & Basic stats/4. Finding occurrences of each question...srt 10.7 kB
  • 7. Advance Feature Engineering in Data ScienceNLPML/5. Lecture 26.srt 10.5 kB
  • 3. Data Analysis & Basic stats/3. Checking for Duplicates questions in our data !.srt 8.9 kB
  • 6. String matching in MLNLP/4. String Matching using Token set ratio..srt 8.7 kB
  • 1. Welcome to this course !/4. Introduction to Jupyter Notebook.srt 8.3 kB
  • 4. Feature Extraction for Data Science/5. Lets Create some features using basic featurization...srt 7.9 kB
  • 1. Welcome to this course !/1. Introduction to course & its benefits.srt 7.3 kB
  • 5. Data Pre-preocessing For Data ScienceML/3. Lets Remove Extra White-spaces in data...srt 6.9 kB
  • 1. Welcome to this course !/3. How to follow this course - must watch !.srt 3.8 kB
  • 1. Welcome to this course !/2. Utilize QnA Section , (Golden Opportunity ).srt 2.7 kB
  • 2. Understanding the business problem/1. Datasets & Resources.html 181 Bytes
  • 5. Data Pre-preocessing For Data ScienceML/Download Paid Udemy Courses For Free.url 116 Bytes
  • 5. Data Pre-preocessing For Data ScienceML/GetFreeCourses.Co.url 116 Bytes
  • Download Paid Udemy Courses For Free.url 116 Bytes
  • GetFreeCourses.Co.url 116 Bytes

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