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Natural Language Processing Real-World Projects in Python

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视频 2022-11-3 07:15 2024-12-25 03:10 178 1.8 GB 33
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Natural Language Processing Real-World Projects in Python

文件列表
  1. 02 Project 1--__Predict the sentiments of Amazon Customer/009 Automate your NLP model & Machine Learning Model.mp4107.08MB
  2. 01 Introduction to this course/001 Intro To course.mp419.34MB
  3. 01 Introduction to this course/002 How to follow this course-Must Watch.mp417.19MB
  4. 02 Project 1--__Predict the sentiments of Amazon Customer/001 Introduction to Business Problem & Dataset.mp423.73MB
  5. 02 Project 1--__Predict the sentiments of Amazon Customer/003 Perform Data Pre-processing on Amazon Data.mp460.17MB
  6. 02 Project 1--__Predict the sentiments of Amazon Customer/004 Apply Exploratory Data Analysis on Data.mp451.94MB
  7. 02 Project 1--__Predict the sentiments of Amazon Customer/005 Intuition behind Bag of Words.mp462.61MB
  8. 02 Project 1--__Predict the sentiments of Amazon Customer/006 Intuition behind Logistic Regression --part 1.mp457.97MB
  9. 02 Project 1--__Predict the sentiments of Amazon Customer/007 Intuition behind Logistic Regression --part 2.mp444.15MB
  10. 02 Project 1--__Predict the sentiments of Amazon Customer/008 Apply Bag of Words on data.mp495.95MB
  11. 02 Project 1--__Predict the sentiments of Amazon Customer/010 Intuition behind TF-IDF --part 1.mp424.78MB
  12. 02 Project 1--__Predict the sentiments of Amazon Customer/011 Intuition behind TF-IDF --part 2.mp434.59MB
  13. 02 Project 1--__Predict the sentiments of Amazon Customer/012 Applying algorithms of NLP & Machine Learning.mp458.75MB
  14. 02 Project 1--__Predict the sentiments of Amazon Customer/013 Data Preparation for Modelling Purpose.mp455.59MB
  15. 02 Project 1--__Predict the sentiments of Amazon Customer/014 What is Imbalance Data & how to handle it__.mp485.54MB
  16. 02 Project 1--__Predict the sentiments of Amazon Customer/015 Part1-- What is Cross-validation & when to use it__.mp441.66MB
  17. 02 Project 1--__Predict the sentiments of Amazon Customer/016 Part2-- What is Cross-validation & when to use it__.mp467.34MB
  18. 02 Project 1--__Predict the sentiments of Amazon Customer/017 Applying Techniques of Handling Imbalance Data & Cross Validation.mp499.34MB
  19. 03 Project2----___ Predict the Stock News Headlines/001 Introduction to Business Problem & Dataset.mp423.77MB
  20. 03 Project2----___ Predict the Stock News Headlines/003 Data Pre-processing on Data.mp484.04MB
  21. 03 Project2----___ Predict the Stock News Headlines/004 Perfrom Data Wrangling & Merging.mp472.03MB
  22. 03 Project2----___ Predict the Stock News Headlines/005 Intuition Behind Random Forest Part-1.mp477.76MB
  23. 03 Project2----___ Predict the Stock News Headlines/006 Intuition behind Random Forest --part 2.mp450.79MB
  24. 03 Project2----___ Predict the Stock News Headlines/007 Apply Bag of words and Random forest on Data.mp462.25MB
  25. 03 Project2----___ Predict the Stock News Headlines/008 Model Evaluation.mp450.04MB
  26. 03 Project2----___ Predict the Stock News Headlines/009 Intuition Behind Naive Bayes-Part 1.mp469.02MB
  27. 03 Project2----___ Predict the Stock News Headlines/010 Intuition Behind Naive Bayes- Part 2.mp492.62MB
  28. 03 Project2----___ Predict the Stock News Headlines/011 Apply Naive Bayes on Data.mp436.83MB
  29. 04 Project 3--___ Predicting the strength of Password/001 Introduction to Business Problem & Dataset.mp413.7MB
  30. 04 Project 3--___ Predicting the strength of Password/003 Exploring Data.mp457.06MB
  31. 04 Project 3--___ Predicting the strength of Password/004 Apply TF-IDF on data.mp460.55MB
  32. 04 Project 3--___ Predicting the strength of Password/005 Apply Logistic Regression on Data.mp452.96MB
  33. 04 Project 3--___ Predicting the strength of Password/006 Checking Accuracy of Model.mp428.2MB
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