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[ DevCourseWeb com ] Udemy - Mining and Analyzing LinkedIn Data
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1. Introduction
1. Course content.mp4
1. Course content.srt
2. Course materials.html
3. Bonus course - valid until January 31st.html
Course materials
Mining and Analyzing LinkedIn Data.pdf
clusters.kml
connections.csv
connections.kml
connections_location.csv
connections_locations_full.csv
data.json
invitations.csv
invitations_locations.csv
messages.csv
__MACOSX
Course materials
_Mining and Analyzing LinkedIn Data.pdf
_clusters.kml
_connections.csv
_connections.kml
_connections_location.csv
_connections_locations_full.csv
_data.json
_invitations.csv
_invitations_locations.csv
_messages.csv
_Course materials
2. LinkedIn datasets
1. Plan of attack.mp4
1. Plan of attack.srt
1.1 Source code - Google Colab.html
10. Messages dataset.mp4
10. Messages dataset.srt
2. Creating a LinkedIn APP.mp4
2. Creating a LinkedIn APP.srt
3. LinkedIn API 1.mp4
3. LinkedIn API 1.srt
4. LinkedIn API 2.mp4
4. LinkedIn API 2.srt
5. Getting data from LinkedIn.mp4
5. Getting data from LinkedIn.srt
6. Connections dataset.mp4
6. Connections dataset.srt
7. Invitations dataset 1.mp4
7. Invitations dataset 1.srt
8. Invitations dataset 2.mp4
8. Invitations dataset 2.srt
9. Generating fake data.mp4
9. Generating fake data.srt
3. Connections between users and invitations
1. Plan of attack.mp4
1. Plan of attack.srt
1.1 Source code - Google Colab.html
10. Clustering similar positions 1.mp4
10. Clustering similar positions 1.srt
11. Clustering similar positions 2.mp4
11. Clustering similar positions 2.srt
12. Clustering similar positions 3.mp4
12. Clustering similar positions 3.srt
13. Clustering similar positions 4.mp4
13. Clustering similar positions 4.srt
14. Visualizing the clusters.mp4
14. Visualizing the clusters.srt
15. Exporting to JSON.mp4
15. Exporting to JSON.srt
16. Visualizing using dendrogram.mp4
16. Visualizing using dendrogram.srt
17. Visualizing using link tree.mp4
17. Visualizing using link tree.srt
18. Google location API.mp4
18. Google location API.srt
19. Using the location API.mp4
19. Using the location API.srt
2. Connections by day.mp4
2. Connections by day.srt
20. Latitude and longitude of the contacts.mp4
20. Latitude and longitude of the contacts.srt
21. Contact map using Basemap.mp4
21. Contact map using Basemap.srt
22. Getting countries and cities.mp4
22. Getting countries and cities.srt
23. Graph of users by countries and cities.mp4
23. Graph of users by countries and cities.srt
24. Introduction to clustering.mp4
24. Introduction to clustering.srt
25. Introduction to k-mean algorithm.mp4
25. Introduction to k-mean algorithm.srt
26. Clustering users by location with k-means.mp4
26. Clustering users by location with k-means.srt
27. Visualizing the clusters using Google Earth.mp4
27. Visualizing the clusters using Google Earth.srt
28. Invitations dataset.mp4
28. Invitations dataset.srt
29. HOMEWORK.html
3. HOMEWORK.html
30. Homework solution.mp4
30. Homework solution.srt
31. Analysis of the invitations dataset.mp4
31. Analysis of the invitations dataset.srt
4. Homework solution.mp4
4. Homework solution.srt
5. Companies data.mp4
5. Companies data.srt
6. Positions data.mp4
6. Positions data.srt
7. Levenshtein distance.mp4
7. Levenshtein distance.srt
8. N-gram similarity.mp4
8. N-gram similarity.srt
9. Jaccard distance.mp4
9. Jaccard distance.srt
4. Messages between users
1. Plan of attack.mp4
1. Plan of attack.srt
1.1 Source code - Google Colab.html
2. Loading the dataset.mp4
2. Loading the dataset.srt
3. Preprocessing the texts.mp4
3. Preprocessing the texts.srt
4. Preprocessing the dataset.mp4
4. Preprocessing the dataset.srt
5. Detecting languages.mp4
5. Detecting languages.srt
6. Word cloud.mp4
6. Word cloud.srt
7. Named entity recognition.mp4
7. Named entity recognition.srt
8. Sentiment analysis.mp4
8. Sentiment analysis.srt
5. Final remarks
1. Final remarks.mp4
1. Final remarks.srt
Bonus Resources.txt
Torrent description
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