Download Free Download : Udemy Recommendation system Real World Projects using Python
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:2.08 GB
Files Included :
001 Introduction to course & its benefits.mp4 (27.89 MB)
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002 Utilize QnA section ( Golden Oppurtunity ).mp4 (9.38 MB)
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003 How to follow this course , must watch.mp4 (26.68 MB)
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004 Pre-requisites (Anaconda Python & Jupter install & Set-up).mp4 (24.41 MB)
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005 Introduction to Jupyter Notebook.mp4 (43.41 MB)
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001 Getting a High-level Overview of data.mp4 (49.99 MB)
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002 Lets Prepare data for analysis & Model building.mp4 (94.9 MB)
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003 Getting Overview of Average weighted Technique.mp4 (92.16 MB)
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004 Lets Recommend movies using Average weighted Technique.mp4 (115.07 MB)
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001 Lets Implement Popularity based Recommender System.mp4 (90.77 MB)
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001 How to Normalize your Data.mp4 (68.75 MB)
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002 Lets recommend movies using Hybrid model.mp4 (70.86 MB)
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001 Lets Understand about Content Based Recommendation system.mp4 (64.73 MB)
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002 Intuition Behind Bag of Words - Part 1.mp4 (62.58 MB)
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003 Intuition Behind TF IDF Part 1.mp4 (24.77 MB)
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004 Intuition Behind Tf-IDF - Part 2.mp4 (34.57 MB)
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005 Applying TF-IDF on our data.mp4 (83.3 MB)
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006 Applying Sigmoid kernel on data.mp4 (50.41 MB)
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007 How to design a function from scratch in real-world.mp4 (41.83 MB)
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008 Lets Build Content based model.mp4 (133.98 MB)
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001 Understand how to improve Model from business perspective.mp4 (58.09 MB)
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002 Lets perform Feature Extraction.mp4 (63.06 MB)
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003 Lets clean & prepare our data.mp4 (87.9 MB)
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004 What is Meta-data & how to Create meta-data.mp4 (97.25 MB)
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005 Lets Recommend Movies.mp4 (43.38 MB)
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001 Lets Perform Data Preparation.mp4 (97.97 MB)
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002 Applying Statistical Approaches on Data.mp4 (80.34 MB)
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003 What is Pivot Table & how to create it.mp4 (65.65 MB)
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004 Lets Build recommender system using Co-relation.mp4 (107.48 MB)
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001 Lets explore our data.mp4 (61.97 MB)
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002 Lets Build KNN based collabarative model.mp4 (100.2 MB)
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003 How to make your Recommendations more Interactive.mp4 (53.96 MB)
MP4
MP4
002 Utilize QnA section ( Golden Oppurtunity ).mp4 (9.38 MB)
MP4
003 How to follow this course , must watch.mp4 (26.68 MB)
MP4
004 Pre-requisites (Anaconda Python & Jupter install & Set-up).mp4 (24.41 MB)
MP4
005 Introduction to Jupyter Notebook.mp4 (43.41 MB)
MP4
001 Getting a High-level Overview of data.mp4 (49.99 MB)
MP4
002 Lets Prepare data for analysis & Model building.mp4 (94.9 MB)
MP4
003 Getting Overview of Average weighted Technique.mp4 (92.16 MB)
MP4
004 Lets Recommend movies using Average weighted Technique.mp4 (115.07 MB)
MP4
001 Lets Implement Popularity based Recommender System.mp4 (90.77 MB)
MP4
001 How to Normalize your Data.mp4 (68.75 MB)
MP4
002 Lets recommend movies using Hybrid model.mp4 (70.86 MB)
MP4
001 Lets Understand about Content Based Recommendation system.mp4 (64.73 MB)
MP4
002 Intuition Behind Bag of Words - Part 1.mp4 (62.58 MB)
MP4
003 Intuition Behind TF IDF Part 1.mp4 (24.77 MB)
MP4
004 Intuition Behind Tf-IDF - Part 2.mp4 (34.57 MB)
MP4
005 Applying TF-IDF on our data.mp4 (83.3 MB)
MP4
006 Applying Sigmoid kernel on data.mp4 (50.41 MB)
MP4
007 How to design a function from scratch in real-world.mp4 (41.83 MB)
MP4
008 Lets Build Content based model.mp4 (133.98 MB)
MP4
001 Understand how to improve Model from business perspective.mp4 (58.09 MB)
MP4
002 Lets perform Feature Extraction.mp4 (63.06 MB)
MP4
003 Lets clean & prepare our data.mp4 (87.9 MB)
MP4
004 What is Meta-data & how to Create meta-data.mp4 (97.25 MB)
MP4
005 Lets Recommend Movies.mp4 (43.38 MB)
MP4
001 Lets Perform Data Preparation.mp4 (97.97 MB)
MP4
002 Applying Statistical Approaches on Data.mp4 (80.34 MB)
MP4
003 What is Pivot Table & how to create it.mp4 (65.65 MB)
MP4
004 Lets Build recommender system using Co-relation.mp4 (107.48 MB)
MP4
001 Lets explore our data.mp4 (61.97 MB)
MP4
002 Lets Build KNN based collabarative model.mp4 (100.2 MB)
MP4
003 How to make your Recommendations more Interactive.mp4 (53.96 MB)
MP4
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