DevCourseWeb com Udemy Recommendation system Real World Projects using Python

DevCourseWeb com Udemy Recommendation system Real World Projects using Python

Name	[ DevCourseWeb.com ] Udemy - Recommendation system Real World Projects using Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.2 GB
Total Files	69
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Hash	1FD96C4FC170AB693D6146A82C27F2E568B34C34

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Get Bonus Downloads Here.url	0.2 KB
/.../01 - Introduction & welcome to this course _/
001 Introduction to course & its benefits _.mp4	29.2 MB
001 Introduction to course & its benefits __en.vtt	6.1 KB
002 Utilize QnA section ( Golden Oppurtunity ) _.mp4	9.8 MB
002 Utilize QnA section ( Golden Oppurtunity ) __en.vtt	2.4 KB
003 How to follow this course , must watch _.mp4	28.0 MB
003 How to follow this course , must watch __en.vtt	5.0 KB
004 Pre-requisites (Anaconda Python & Jupter install & Set-up).mp4	25.6 MB
004 Pre-requisites (Anaconda Python & Jupter install & Set-up)_en.vtt	4.4 KB
005 Introduction to Jupyter Notebook _.mp4	45.5 MB
005 Introduction to Jupyter Notebook __en.vtt	7.3 KB
/.../02 - ------------------- Project 1 _ TMDB use-case ----------------------/
001 Datasets & Resources.html	0.2 KB
/.../03 - Build a Recommendation System using Average Weighted/
001 Getting a High-level Overview of data.mp4	52.4 MB
001 Getting a High-level Overview of data_en.vtt	9.0 KB
002 Lets Prepare data for analysis & Model building.mp4	99.5 MB
002 Lets Prepare data for analysis & Model building_en.vtt	13.2 KB
003 Getting Overview of Average_weighted_Technique.mp4	96.6 MB
003 Getting Overview of Average_weighted_Technique_en.vtt	14.7 KB
004 Lets Recommend movies using Average_weighted_Technique.mp4	120.7 MB
004 Lets Recommend movies using Average_weighted_Technique_en.vtt	17.2 KB
/.../04 - Build a recommendation system using Popularity Score/
001 Lets Implement Popularity based Recommender System.mp4	95.2 MB
001 Lets Implement Popularity based Recommender System_en.vtt	12.1 KB
/.../05 - Build a recommendation system using Weighted average and Popularity score/
001 How to Normalize your Data _.mp4	72.1 MB
001 How to Normalize your Data __en.vtt	10.8 KB
002 Lets recommend movies using Hybrid model.mp4	74.3 MB
002 Lets recommend movies using Hybrid model_en.vtt	10.4 KB
/.../06 - Build a recommendation system using Content based filtering/
001 Lets Understand about Content Based Recommendation system.mp4	67.9 MB
001 Lets Understand about Content Based Recommendation system_en.vtt	9.5 KB
002 Intuition Behind Bag of Words - Part 1.mp4	65.6 MB
002 Intuition Behind Bag of Words - Part 1_en.vtt	16.8 KB
003 Intuition Behind TF_IDF Part 1.mp4	26.0 MB
003 Intuition Behind TF_IDF Part 1_en.vtt	7.7 KB
004 Intuition Behind Tf-IDF - Part 2.mp4	36.3 MB
004 Intuition Behind Tf-IDF - Part 2_en.vtt	7.4 KB
005 Applying TF-IDF on our data _.mp4	87.4 MB
005 Applying TF-IDF on our data __en.vtt	12.8 KB
006 Applying Sigmoid kernel on data _.mp4	52.9 MB
006 Applying Sigmoid kernel on data __en.vtt	6.5 KB
007 How to design a function from scratch in real-world _.mp4	43.9 MB
007 How to design a function from scratch in real-world __en.vtt	6.1 KB
008 Lets Build Content_based model.mp4	140.5 MB
008 Lets Build Content_based model_en.vtt	19.3 KB
/.../07 - Build a more Advance recommendation system using Content based filtering/
001 Understand how to improve Model from business perspective _.mp4	60.9 MB
001 Understand how to improve Model from business perspective __en.vtt	7.8 KB
002 Lets perform Feature Extraction _.mp4	66.1 MB
002 Lets perform Feature Extraction __en.vtt	8.9 KB
003 Lets clean & prepare our data.mp4	92.2 MB
003 Lets clean & prepare our data_en.vtt	13.6 KB
004 What is Meta-data & how to Create meta-data.mp4	102.0 MB
004 What is Meta-data & how to Create meta-data_en.vtt	12.8 KB
005 Lets Recommend Movies.mp4	45.5 MB
005 Lets Recommend Movies_en.vtt	6.6 KB
/.../08 - ------------------- Project 2 _ Movie_lens use-case --------------------/
001 intro.html	0.1 KB
002 Datasets & Resources.html	0.2 KB
/.../09 - Build a Recommender System using Co-rrelation/
001 Lets Perform Data Preparation.mp4	102.7 MB
001 Lets Perform Data Preparation_en.vtt	17.7 KB
002 Applying Statistical Approaches on Data _.mp4	84.2 MB
002 Applying Statistical Approaches on Data __en.vtt	12.6 KB
003 What is Pivot_Table & how to create it _.mp4	68.8 MB
003 What is Pivot_Table & how to create it __en.vtt	10.1 KB
004 Lets Build recommender system using Co-relation.mp4	112.7 MB
004 Lets Build recommender system using Co-relation_en.vtt	15.4 KB
/.../10 - Build a Recommender System using KNN-based Collaborative filtering/
001 Lets explore our data.mp4	65.0 MB
001 Lets explore our data_en.vtt	9.8 KB
002 Lets Build KNN based collabarative model.mp4	105.1 MB
002 Lets Build KNN based collabarative model_en.vtt	14.6 KB
003 How to make your Recommendations more Interactive _.mp4	56.6 MB
003 How to make your Recommendations more Interactive __en.vtt	7.6 KB
~Get Your Files Here !/
Bonus Resources.txt	0.4 KB
Total files 69