Download Udemy - Recommendation system Real World Projects using Python Torrent

Torrent Contents Size: 2.1 GB

Udemy - Recommendation system Real World Projects using Python

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001 Datasets & Resources.html	HTML	204.8 B
001 Getting a High-level Overview of data.mp4	MP4	50 MB
001 Getting a High-level Overview of data_en.vtt	VTT	8.8 KB
001 How to Normalize your Data _.mp4	MP4	68.7 MB
001 How to Normalize your Data __en.vtt	VTT	10.6 KB
001 Introduction to course & its benefits _.mp4	MP4	27.9 MB
001 Introduction to course & its benefits __en.vtt	VTT	5.9 KB
001 Lets Implement Popularity based Recommender System.mp4	MP4	90.8 MB
001 Lets Implement Popularity based Recommender System_en.vtt	VTT	11.9 KB
001 Lets Perform Data Preparation.mp4	MP4	98 MB
001 Lets Perform Data Preparation_en.vtt	VTT	17.3 KB
001 Lets Understand about Content Based Recommendation system.mp4	MP4	64.7 MB
001 Lets Understand about Content Based Recommendation system_en.vtt	VTT	9.3 KB
001 Lets explore our data.mp4	MP4	62 MB
001 Lets explore our data_en.vtt	VTT	9.6 KB
001 Understand how to improve Model from business perspective _.mp4	MP4	58.1 MB
001 Understand how to improve Model from business perspective __en.vtt	VTT	7.6 KB
001 intro.html	HTML	102.4 B
002 Applying Statistical Approaches on Data _.mp4	MP4	80.3 MB
002 Applying Statistical Approaches on Data __en.vtt	VTT	12.3 KB
002 Datasets & Resources.html	HTML	204.8 B
002 Intuition Behind Bag of Words - Part 1.mp4	MP4	62.6 MB
002 Intuition Behind Bag of Words - Part 1_en.vtt	VTT	16.4 KB
002 Lets Build KNN based collabarative model.mp4	MP4	100.2 MB
002 Lets Build KNN based collabarative model_en.vtt	VTT	14.3 KB
002 Lets Prepare data for analysis & Model building.mp4	MP4	94.9 MB
002 Lets Prepare data for analysis & Model building_en.vtt	VTT	12.9 KB
002 Lets perform Feature Extraction _.mp4	MP4	63.1 MB
002 Lets perform Feature Extraction __en.vtt	VTT	8.6 KB
002 Lets recommend movies using Hybrid model.mp4	MP4	70.9 MB
002 Lets recommend movies using Hybrid model_en.vtt	VTT	10.2 KB
002 Utilize QnA section ( Golden Oppurtunity ) _.mp4	MP4	9.4 MB
002 Utilize QnA section ( Golden Oppurtunity ) __en.vtt	VTT	2.3 KB
003 Getting Overview of Average_weighted_Technique.mp4	MP4	92.2 MB
003 Getting Overview of Average_weighted_Technique_en.vtt	VTT	14.3 KB
003 How to follow this course , must watch _.mp4	MP4	26.7 MB
003 How to follow this course , must watch __en.vtt	VTT	4.9 KB
003 How to make your Recommendations more Interactive _.mp4	MP4	54 MB
003 How to make your Recommendations more Interactive __en.vtt	VTT	7.5 KB
003 Intuition Behind TF_IDF Part 1.mp4	MP4	24.8 MB
003 Intuition Behind TF_IDF Part 1_en.vtt	VTT	7.5 KB
003 Lets clean & prepare our data.mp4	MP4	87.9 MB
003 Lets clean & prepare our data_en.vtt	VTT	13.3 KB
003 What is Pivot_Table & how to create it _.mp4	MP4	65.7 MB
003 What is Pivot_Table & how to create it __en.vtt	VTT	9.9 KB
004 Intuition Behind Tf-IDF - Part 2.mp4	MP4	34.6 MB
004 Intuition Behind Tf-IDF - Part 2_en.vtt	VTT	7.2 KB
004 Lets Build recommender system using Co-relation.mp4	MP4	107.5 MB
004 Lets Build recommender system using Co-relation_en.vtt	VTT	15.1 KB
004 Lets Recommend movies using Average_weighted_Technique.mp4	MP4	115.1 MB
004 Lets Recommend movies using Average_weighted_Technique_en.vtt	VTT	16.7 KB
004 Pre-requisites (Anaconda Python & Jupter install & Set-up).mp4	MP4	24.4 MB
004 Pre-requisites (Anaconda Python & Jupter install & Set-up)_en.vtt	VTT	4.3 KB
004 What is Meta-data & how to Create meta-data.mp4	MP4	97.2 MB
004 What is Meta-data & how to Create meta-data_en.vtt	VTT	12.5 KB
005 Applying TF-IDF on our data _.mp4	MP4	83.3 MB
005 Applying TF-IDF on our data __en.vtt	VTT	12.5 KB
005 Introduction to Jupyter Notebook _.mp4	MP4	43.4 MB
005 Introduction to Jupyter Notebook __en.vtt	VTT	7.1 KB
005 Lets Recommend Movies.mp4	MP4	43.4 MB
005 Lets Recommend Movies_en.vtt	VTT	6.5 KB
006 Applying Sigmoid kernel on data _.mp4	MP4	50.4 MB
006 Applying Sigmoid kernel on data __en.vtt	VTT	6.4 KB
007 How to design a function from scratch in real-world _.mp4	MP4	41.8 MB
007 How to design a function from scratch in real-world __en.vtt	VTT	6 KB
008 Lets Build Content_based model.mp4	MP4	134 MB
008 Lets Build Content_based model_en.vtt	VTT	18.8 KB
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B

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Udemy - Recommendation system Real World Projects using Python

Torrent Contents Size: 2.1 GB

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