Udemy - Practical Recommender Systems For Business Applications

seeders: 5 leechers: 5 updated: 4 years ago
Added 4 years ago by freecoursewb in Other
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Udemy - Practical Recommender Systems For Business Applications

Torrent Contents Size: 1.9 GB

Udemy - Practical Recommender Systems For Business Applications
▼ show more 41 files
1. Basic Item Based Filtering.mp4
MP4
25.9 MB
1. Content Based Filtering On Text Data With Surprise.mp4
MP4
51.8 MB
1. Different Types of Recommender System.mp4
MP4
22.9 MB
1. Euclidean Distances as a Basis of Making Recommendations.mp4
MP4
22.3 MB
1. Introduction to Pandas.mp4
MP4
69.6 MB
1. Principal Component Analysis (PCA).mp4
MP4
24.4 MB
1. Theory of Text Cleaning.mp4
MP4
58.3 MB
1. What Is a Dictionary.mp4
MP4
67.7 MB
1. What Is the Course About.mp4
MP4
32.3 MB
10. Basic Data Visualisations.mp4
MP4
28.8 MB
10. k-Nearest Neighbours (kNN)-Theory.mp4
MP4
78.3 MB
11. More Visualisations.mp4
MP4
41.3 MB
12. Exploring the Temporal Dimension.mp4
MP4
44.3 MB
2. Data and Code.html
HTML
102.4 B
2. Practical Application of PCA.mp4
MP4
26.1 MB
2. Read in Multiple CSVs.mp4
MP4
49.1 MB
2. Surprise For More Content Filtering.mp4
MP4
22.3 MB
2. Text Cleaning-Part 1.mp4
MP4
24.2 MB
2. Using Distances and SVD For Recommendations.mp4
MP4
54.4 MB
2. Word2Vec For Basic Item Recommendation.mp4
MP4
42.8 MB
3. How Demographic Traits Can Help With Making Recommendations.mp4
MP4
14.1 MB
3. Hybrid Recommenders-LightFM.mp4
MP4
44 MB
3. One More Variant.mp4
MP4
10.3 MB
3. Python Installation.mp4
MP4
39.3 MB
3. Read in Data From SQL.mp4
MP4
28.4 MB
3. Single Vector Decomposition (SVD)-Theory.mp4
MP4
8.4 MB
3. Text Cleaning-Part 2.mp4
MP4
27.1 MB
4. Basic Data Processing.mp4
MP4
39.4 MB
4. Implement SVD.mp4
MP4
15.1 MB
4. NTLK-Based Cleaning.mp4
MP4
34.7 MB
4. Read in JSON Files.mp4
MP4
35.7 MB
4. Set Up a Problem For Classical Recommender Systems.mp4
MP4
40.5 MB
4. Start With Google Colaboratory Environment.mp4
MP4
36.7 MB
4. Word2Vec Based Recommendation- Based On Items.mp4
MP4
49.5 MB
5. Another NTLK-Based Workflow.mp4
MP4
39 MB
5. Content Based Filtering.mp4
MP4
38.8 MB
5. Final List Of Movies.mp4
MP4
27.2 MB
5. Google Colabs and GPU.mp4
MP4
27.6 MB
5. Read in Text Data.mp4
MP4
11.2 MB
5. Unsupervised Leaning-Theory.mp4
MP4
28.6 MB
6. Assess Data Quality.mp4
MP4
31.9 MB
6. Collaborative Filtering.mp4
MP4
19.9 MB
6. K-means Clustering Theory.mp4
MP4
18.2 MB
6. What Are Wordclouds.mp4
MP4
53.1 MB
6. Why Recommender Systems.mp4
MP4
48.8 MB
7. Cosine Similarity.mp4
MP4
19.3 MB
7. Python Data Cleaning.mp4
MP4
31.8 MB
7. Word Clouds For Movie Themes.mp4
MP4
47.2 MB
8. Grouping Data.mp4
MP4
99.8 MB
8. Jaccard Similarity.mp4
MP4
6.7 MB
8. TF-IDF Theory.mp4
MP4
18.2 MB
9. Introduction to Supervised Learning.mp4
MP4
69.7 MB
9. More Data Summarisations and Pivoting.mp4
MP4
77.5 MB
9. Practical TF-IDF Implementation.mp4
MP4
22.2 MB
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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