[ TutGee.com ] Udemy - Practical Recommender Systems For Business Applications
File List
- ~Get Your Files Here !/2. Basics Of Python For Data Science/8. Grouping Data.mp4 99.8 MB
- ~Get Your Files Here !/3. Basic Statistical Concepts/10. k-Nearest Neighbours (kNN)-Theory.mp4 78.3 MB
- ~Get Your Files Here !/2. Basics Of Python For Data Science/9. More Data Summarisations and Pivoting.mp4 77.5 MB
- ~Get Your Files Here !/3. Basic Statistical Concepts/9. Introduction to Supervised Learning.mp4 69.7 MB
- ~Get Your Files Here !/2. Basics Of Python For Data Science/1. Introduction to Pandas.mp4 69.6 MB
- ~Get Your Files Here !/9. Miscellaneous/1. What Is a Dictionary.mp4 67.7 MB
- ~Get Your Files Here !/7. Working With Text Data/1. Theory of Text Cleaning.mp4 58.3 MB
- ~Get Your Files Here !/5. Filtering Based Recommender Engines/2. Using Distances and SVD For Recommendations.mp4 54.4 MB
- ~Get Your Files Here !/7. Working With Text Data/6. What Are Wordclouds.mp4 53.1 MB
- ~Get Your Files Here !/8. Text Based Recommender System/1. Content Based Filtering On Text Data With Surprise.mp4 51.8 MB
- ~Get Your Files Here !/8. Text Based Recommender System/4. Word2Vec Based Recommendation- Based On Items.mp4 49.5 MB
- ~Get Your Files Here !/2. Basics Of Python For Data Science/2. Read in Multiple CSVs.mp4 49.1 MB
- ~Get Your Files Here !/1. Welcome To The Course/6. Why Recommender Systems.mp4 48.8 MB
- ~Get Your Files Here !/7. Working With Text Data/7. Word Clouds For Movie Themes.mp4 47.2 MB
- ~Get Your Files Here !/2. Basics Of Python For Data Science/12. Exploring the Temporal Dimension.mp4 44.3 MB
- ~Get Your Files Here !/6. Common Recommender Engines/3. Hybrid Recommenders-LightFM.mp4 44.0 MB
- ~Get Your Files Here !/8. Text Based Recommender System/2. Word2Vec For Basic Item Recommendation.mp4 42.8 MB
- ~Get Your Files Here !/2. Basics Of Python For Data Science/11. More Visualisations.mp4 41.3 MB
- ~Get Your Files Here !/6. Common Recommender Engines/4. Set Up a Problem For Classical Recommender Systems.mp4 40.5 MB
- ~Get Your Files Here !/5. Filtering Based Recommender Engines/4. Basic Data Processing.mp4 39.4 MB
- ~Get Your Files Here !/1. Welcome To The Course/3. Python Installation.mp4 39.3 MB
- ~Get Your Files Here !/7. Working With Text Data/5. Another NTLK-Based Workflow.mp4 39.0 MB
- ~Get Your Files Here !/6. Common Recommender Engines/5. Content Based Filtering.mp4 38.8 MB
- ~Get Your Files Here !/1. Welcome To The Course/4. Start With Google Colaboratory Environment.mp4 36.7 MB
- ~Get Your Files Here !/2. Basics Of Python For Data Science/4. Read in JSON Files.mp4 35.7 MB
- ~Get Your Files Here !/7. Working With Text Data/4. NTLK-Based Cleaning.mp4 34.7 MB
- ~Get Your Files Here !/1. Welcome To The Course/1. What Is the Course About.mp4 32.3 MB
- ~Get Your Files Here !/2. Basics Of Python For Data Science/6. Assess Data Quality.mp4 31.9 MB
- ~Get Your Files Here !/2. Basics Of Python For Data Science/7. Python Data Cleaning.mp4 31.8 MB
- ~Get Your Files Here !/2. Basics Of Python For Data Science/10. Basic Data Visualisations.mp4 28.8 MB
- ~Get Your Files Here !/3. Basic Statistical Concepts/5. Unsupervised Leaning-Theory.mp4 28.6 MB
- ~Get Your Files Here !/2. Basics Of Python For Data Science/3. Read in Data From SQL.mp4 28.4 MB
- ~Get Your Files Here !/1. Welcome To The Course/5. Google Colabs and GPU.mp4 27.6 MB
- ~Get Your Files Here !/5. Filtering Based Recommender Engines/5. Final List Of Movies.mp4 27.2 MB
- ~Get Your Files Here !/7. Working With Text Data/3. Text Cleaning-Part 2.mp4 27.1 MB
- ~Get Your Files Here !/3. Basic Statistical Concepts/2. Practical Application of PCA.mp4 26.1 MB
- ~Get Your Files Here !/6. Common Recommender Engines/1. Basic Item Based Filtering.mp4 25.9 MB
- ~Get Your Files Here !/3. Basic Statistical Concepts/1. Principal Component Analysis (PCA).mp4 24.4 MB
- ~Get Your Files Here !/7. Working With Text Data/2. Text Cleaning-Part 1.mp4 24.2 MB
- ~Get Your Files Here !/4. What Are Recommender Engines/1. Different Types of Recommender System.mp4 22.9 MB
- ~Get Your Files Here !/6. Common Recommender Engines/2. Surprise For More Content Filtering.mp4 22.3 MB
- ~Get Your Files Here !/5. Filtering Based Recommender Engines/1. Euclidean Distances as a Basis of Making Recommendations.mp4 22.3 MB
- ~Get Your Files Here !/7. Working With Text Data/9. Practical TF-IDF Implementation.mp4 22.2 MB
- ~Get Your Files Here !/6. Common Recommender Engines/6. Collaborative Filtering.mp4 19.9 MB
- ~Get Your Files Here !/3. Basic Statistical Concepts/7. Cosine Similarity.mp4 19.3 MB
- ~Get Your Files Here !/7. Working With Text Data/8. TF-IDF Theory.mp4 18.2 MB
- ~Get Your Files Here !/3. Basic Statistical Concepts/6. K-means Clustering Theory.mp4 18.2 MB
- ~Get Your Files Here !/3. Basic Statistical Concepts/4. Implement SVD.mp4 15.1 MB
- ~Get Your Files Here !/5. Filtering Based Recommender Engines/3. How Demographic Traits Can Help With Making Recommendations.mp4 14.1 MB
- ~Get Your Files Here !/2. Basics Of Python For Data Science/5. Read in Text Data.mp4 11.2 MB
- ~Get Your Files Here !/8. Text Based Recommender System/3. One More Variant.mp4 10.3 MB
- ~Get Your Files Here !/3. Basic Statistical Concepts/3. Single Vector Decomposition (SVD)-Theory.mp4 8.4 MB
- ~Get Your Files Here !/3. Basic Statistical Concepts/8. Jaccard Similarity.mp4 6.7 MB
- ~Get Your Files Here !/Bonus Resources.txt 386 bytes
- Get Bonus Downloads Here.url 176 bytes
- ~Get Your Files Here !/1. Welcome To The Course/2. Data and Code.html 147 bytes
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