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

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种子名称: GetFreeCourses.Co-Udemy-Data science ,Analytics & AI Real world Project using Python
文件类型: 视频
文件数目: 43个文件
文件大小: 3.4 GB
收录时间: 2023-8-5 04:27
已经下载: 3
资源热度: 113
最近下载: 2024-5-26 19:49

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