FreeCourseSite com Udemy - Data science Analytics & AI Real world Project using Python

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