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Torrent Details
[ TutGee.com ] Udemy - Practical Recommender Systems For Business Applications
Category:
Other
Size:
1.9 GB
Seeders:
9
Leechers:
5
Downloads:
700
Uploaded:
Mar 12, 2022
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[ TutGee.com ] Udemy - Practical Recommender Systems For Business Applications
~Get Your Files Here !
2. Basics Of Python For Data Science
8. Grouping Data.mp4
- 99.85 MB
9. More Data Summarisations and Pivoting.mp4
- 77.48 MB
1. Introduction to Pandas.mp4
- 69.65 MB
2. Read in Multiple CSVs.mp4
- 49.11 MB
12. Exploring the Temporal Dimension.mp4
- 44.34 MB
11. More Visualisations.mp4
- 41.27 MB
4. Read in JSON Files.mp4
- 35.69 MB
6. Assess Data Quality.mp4
- 31.93 MB
7. Python Data Cleaning.mp4
- 31.78 MB
10. Basic Data Visualisations.mp4
- 28.78 MB
3. Read in Data From SQL.mp4
- 28.44 MB
5. Read in Text Data.mp4
- 11.2 MB
3. Basic Statistical Concepts
10. k-Nearest Neighbours (kNN)-Theory.mp4
- 78.27 MB
9. Introduction to Supervised Learning.mp4
- 69.74 MB
5. Unsupervised Leaning-Theory.mp4
- 28.56 MB
2. Practical Application of PCA.mp4
- 26.13 MB
1. Principal Component Analysis (PCA).mp4
- 24.36 MB
7. Cosine Similarity.mp4
- 19.31 MB
6. K-means Clustering Theory.mp4
- 18.18 MB
4. Implement SVD.mp4
- 15.13 MB
3. Single Vector Decomposition (SVD)-Theory.mp4
- 8.4 MB
8. Jaccard Similarity.mp4
- 6.71 MB
9. Miscellaneous
1. What Is a Dictionary.mp4
- 67.69 MB
7. Working With Text Data
1. Theory of Text Cleaning.mp4
- 58.28 MB
6. What Are Wordclouds.mp4
- 53.08 MB
7. Word Clouds For Movie Themes.mp4
- 47.17 MB
5. Another NTLK-Based Workflow.mp4
- 38.97 MB
4. NTLK-Based Cleaning.mp4
- 34.72 MB
3. Text Cleaning-Part 2.mp4
- 27.08 MB
2. Text Cleaning-Part 1.mp4
- 24.17 MB
9. Practical TF-IDF Implementation.mp4
- 22.24 MB
8. TF-IDF Theory.mp4
- 18.23 MB
5. Filtering Based Recommender Engines
2. Using Distances and SVD For Recommendations.mp4
- 54.43 MB
4. Basic Data Processing.mp4
- 39.4 MB
5. Final List Of Movies.mp4
- 27.2 MB
1. Euclidean Distances as a Basis of Making Recommendations.mp4
- 22.29 MB
3. How Demographic Traits Can Help With Making Recommendations.mp4
- 14.14 MB
8. Text Based Recommender System
1. Content Based Filtering On Text Data With Surprise.mp4
- 51.79 MB
4. Word2Vec Based Recommendation- Based On Items.mp4
- 49.52 MB
2. Word2Vec For Basic Item Recommendation.mp4
- 42.8 MB
3. One More Variant.mp4
- 10.32 MB
1. Welcome To The Course
6. Why Recommender Systems.mp4
- 48.85 MB
3. Python Installation.mp4
- 39.29 MB
4. Start With Google Colaboratory Environment.mp4
- 36.71 MB
1. What Is the Course About.mp4
- 32.32 MB
5. Google Colabs and GPU.mp4
- 27.62 MB
2. Data and Code.html
- 147 B
6. Common Recommender Engines
3. Hybrid Recommenders-LightFM.mp4
- 44.03 MB
4. Set Up a Problem For Classical Recommender Systems.mp4
- 40.46 MB
5. Content Based Filtering.mp4
- 38.8 MB
1. Basic Item Based Filtering.mp4
- 25.85 MB
2. Surprise For More Content Filtering.mp4
- 22.34 MB
6. Collaborative Filtering.mp4
- 19.86 MB
4. What Are Recommender Engines
1. Different Types of Recommender System.mp4
- 22.85 MB
Bonus Resources.txt
- 386 B
Get Bonus Downloads Here.url
- 176 B
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InfoHash:
7E37E64B232BEAC21DB445530246DCB1D2581220
Last updated:
Mar 12, 2022
File count:
56 B
File Category:
1
Tags:
tutgee, udemy, practical, recommender, systems, business, applications
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