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[ DevCourseWeb.com ] Udemy - Recommendation system Real World Projects using Python
Category:
Ebook/Course
Size:
2.08 GB
Seeders:
4
Leechers:
2
Downloads:
274
Uploaded:
Jan 13, 2022
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[ DevCourseWeb.com ] Udemy - Recommendation system Real World Projects using Python
~Get Your Files Here !
06 - Build a recommendation system using Content based filtering
008 Lets Build Content_based model.mp4
- 133.98 MB
005 Applying TF-IDF on our data _.mp4
- 83.3 MB
001 Lets Understand about Content Based Recommendation system.mp4
- 64.73 MB
002 Intuition Behind Bag of Words - Part 1.mp4
- 62.58 MB
006 Applying Sigmoid kernel on data _.mp4
- 50.41 MB
007 How to design a function from scratch in real-world _.mp4
- 41.83 MB
004 Intuition Behind Tf-IDF - Part 2.mp4
- 34.57 MB
003 Intuition Behind TF_IDF Part 1.mp4
- 24.77 MB
008 Lets Build Content_based model_en.vtt
- 18.83 KB
002 Intuition Behind Bag of Words - Part 1_en.vtt
- 16.44 KB
005 Applying TF-IDF on our data __en.vtt
- 12.52 KB
001 Lets Understand about Content Based Recommendation system_en.vtt
- 9.26 KB
003 Intuition Behind TF_IDF Part 1_en.vtt
- 7.51 KB
004 Intuition Behind Tf-IDF - Part 2_en.vtt
- 7.24 KB
006 Applying Sigmoid kernel on data __en.vtt
- 6.36 KB
007 How to design a function from scratch in real-world __en.vtt
- 6 KB
03 - Build a Recommendation System using Average Weighted
004 Lets Recommend movies using Average_weighted_Technique.mp4
- 115.07 MB
002 Lets Prepare data for analysis & Model building.mp4
- 94.9 MB
003 Getting Overview of Average_weighted_Technique.mp4
- 92.16 MB
001 Getting a High-level Overview of data.mp4
- 49.99 MB
004 Lets Recommend movies using Average_weighted_Technique_en.vtt
- 16.75 KB
003 Getting Overview of Average_weighted_Technique_en.vtt
- 14.31 KB
002 Lets Prepare data for analysis & Model building_en.vtt
- 12.91 KB
001 Getting a High-level Overview of data_en.vtt
- 8.75 KB
09 - Build a Recommender System using Co-rrelation
004 Lets Build recommender system using Co-relation.mp4
- 107.48 MB
001 Lets Perform Data Preparation.mp4
- 97.97 MB
002 Applying Statistical Approaches on Data _.mp4
- 80.34 MB
003 What is Pivot_Table & how to create it _.mp4
- 65.65 MB
001 Lets Perform Data Preparation_en.vtt
- 17.3 KB
004 Lets Build recommender system using Co-relation_en.vtt
- 15.05 KB
002 Applying Statistical Approaches on Data __en.vtt
- 12.31 KB
003 What is Pivot_Table & how to create it __en.vtt
- 9.9 KB
10 - Build a Recommender System using KNN-based Collaborative filtering
002 Lets Build KNN based collabarative model.mp4
- 100.2 MB
001 Lets explore our data.mp4
- 61.97 MB
003 How to make your Recommendations more Interactive _.mp4
- 53.96 MB
002 Lets Build KNN based collabarative model_en.vtt
- 14.26 KB
001 Lets explore our data_en.vtt
- 9.56 KB
003 How to make your Recommendations more Interactive __en.vtt
- 7.47 KB
07 - Build a more Advance recommendation system using Content based filtering
004 What is Meta-data & how to Create meta-data.mp4
- 97.25 MB
003 Lets clean & prepare our data.mp4
- 87.9 MB
002 Lets perform Feature Extraction _.mp4
- 63.06 MB
001 Understand how to improve Model from business perspective _.mp4
- 58.09 MB
005 Lets Recommend Movies.mp4
- 43.38 MB
003 Lets clean & prepare our data_en.vtt
- 13.27 KB
004 What is Meta-data & how to Create meta-data_en.vtt
- 12.52 KB
002 Lets perform Feature Extraction __en.vtt
- 8.64 KB
001 Understand how to improve Model from business perspective __en.vtt
- 7.57 KB
005 Lets Recommend Movies_en.vtt
- 6.48 KB
04 - Build a recommendation system using Popularity Score
001 Lets Implement Popularity based Recommender System.mp4
- 90.77 MB
001 Lets Implement Popularity based Recommender System_en.vtt
- 11.85 KB
05 - Build a recommendation system using Weighted average and Popularity score
002 Lets recommend movies using Hybrid model.mp4
- 70.86 MB
001 How to Normalize your Data _.mp4
- 68.75 MB
001 How to Normalize your Data __en.vtt
- 10.58 KB
002 Lets recommend movies using Hybrid model_en.vtt
- 10.18 KB
01 - Introduction & welcome to this course _
005 Introduction to Jupyter Notebook _.mp4
- 43.41 MB
001 Introduction to course & its benefits _.mp4
- 27.89 MB
003 How to follow this course , must watch _.mp4
- 26.68 MB
004 Pre-requisites (Anaconda Python & Jupter install & Set-up).mp4
- 24.41 MB
002 Utilize QnA section ( Golden Oppurtunity ) _.mp4
- 9.38 MB
005 Introduction to Jupyter Notebook __en.vtt
- 7.11 KB
001 Introduction to course & its benefits __en.vtt
- 5.93 KB
003 How to follow this course , must watch __en.vtt
- 4.9 KB
004 Pre-requisites (Anaconda Python & Jupter install & Set-up)_en.vtt
- 4.32 KB
002 Utilize QnA section ( Golden Oppurtunity ) __en.vtt
- 2.32 KB
Bonus Resources.txt
- 386 B
02 - ------------------- Project 1 _ TMDB use-case ----------------------
001 Datasets & Resources.html
- 193 B
08 - ------------------- Project 2 _ Movie_lens use-case --------------------
002 Datasets & Resources.html
- 193 B
001 intro.html
- 53 B
Get Bonus Downloads Here.url
- 182 B
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InfoHash:
1FD96C4FC170AB693D6146A82C27F2E568B34C34
Last updated:
Aug 9, 2023
File count:
69 B
File Category:
9
Tags:
Udemy, Data Science, Development, Other, Tutorials
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