Download Udemy - Recommendation system Real World Projects using Python torrent

Udemy - Recommendation system Real World Projects using Python

Torrent:	Udemy - Recommendation system Real World Projects using Python
Description:	Recommendation system Real World Projects using Python https://DevCourseWeb.com MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz Language: English \| Size: 2.07 GB \| Duration: 4h 27m Real World Projects on recommendation systems with data science, machine learning and AI techniques.. What you'll learn Learn How to tackle Real world Problems.. Learn Collaborative based filtering Learn how to use Correlation for Recommending similar Movies or similar books Learn Content based recommendation system Learn how to use different Techniques like Average Weighted , Hybrid Model etc.. Learn different types of Recommender Systems Requirements For earlier sections, just know some basic arithmetic Be proficient in Python .. Description Believe it or not, almost all online platforms today uses recommender systems in some way or another.
Downloads:	48
Category:	Other /Tutorials
Size:	2.1 GB
Show Files »	[ DevCourseWeb.com ] Udemy - Recommendation system Real World Projects using Python Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 01 - Introduction & welcome to this course _ 001 Introduction to course & its benefits _.mp4 (27.9 MB) 001 Introduction to course & its benefits __en.vtt (5.9 KB) 002 Utilize QnA section ( Golden Oppurtunity ) _.mp4 (9.4 MB) 002 Utilize QnA section ( Golden Oppurtunity ) __en.vtt (2.3 KB) 003 How to follow this course , must watch _.mp4 (26.7 MB) 003 How to follow this course , must watch __en.vtt (4.9 KB) 004 Pre-requisites (Anaconda Python & Jupter install & Set-up).mp4 (24.4 MB) 004 Pre-requisites (Anaconda Python & Jupter install & Set-up)_en.vtt (4.3 KB) 005 Introduction to Jupyter Notebook _.mp4 (43.4 MB) 005 Introduction to Jupyter Notebook __en.vtt (7.1 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 (50.0 MB) 001 Getting a High-level Overview of data_en.vtt (8.8 KB) 002 Lets Prepare data for analysis & Model building.mp4 (94.9 MB) 002 Lets Prepare data for analysis & Model building_en.vtt (12.9 KB) 003 Getting Overview of Average_weighted_Technique.mp4 (92.2 MB) 003 Getting Overview of Average_weighted_Technique_en.vtt (14.3 KB) 004 Lets Recommend movies using Average_weighted_Technique.mp4 (115.1 MB) 004 Lets Recommend movies using Average_weighted_Technique_en.vtt (16.7 KB) 04 - Build a recommendation system using Popularity Score 001 Lets Implement Popularity based Recommender System.mp4 (90.8 MB) 001 Lets Implement Popularity based Recommender System_en.vtt (11.9 KB) 05 - Build a recommendation system using Weighted average and Popularity score 001 How to Normalize your Data _.mp4 (68.7 MB) 001 How to Normalize your Data __en.vtt (10.6 KB) 002 Lets recommend movies using Hybrid model.mp4 (70.9 MB) 002 Lets recommend movies using Hybrid model_en.vtt (10.2 KB) 06 - Build a recommendation system using Content based filtering 001 Lets Understand about Content Based Recommendation system.mp4 (64.7 MB) 001 Lets Understand about Content Based Recommendation system_en.vtt (9.3 KB) 002 Intuition Behind Bag of Words - Part 1.mp4 (62.6 MB) 002 Intuition Behind Bag of Words - Part 1_en.vtt (16.4 KB) 003 Intuition Behind TF_IDF Part 1.mp4 (24.8 MB) 003 Intuition Behind TF_IDF Part 1_en.vtt (7.5 KB) 004 Intuition Behind Tf-IDF - Part 2.mp4 (34.6 MB) 004 Intuition Behind Tf-IDF - Part 2_en.vtt (7.2 KB) 005 Applying TF-IDF on our data _.mp4 (83.3 MB) 005 Applying TF-IDF on our data __en.vtt (12.5 KB) 006 Applying Sigmoid kernel on data _.mp4 (50.4 MB) 006 Applying Sigmoid kernel on data __en.vtt (6.4 KB) 007 How to design a function from scratch in real-world _.mp4 (41.8 MB) 007 How to design a function from scratch in real-world __en.vtt (6.0 KB) 008 Lets Build Content_based model.mp4 (134.0 MB) 008 Lets Build Content_based model_en.vtt (18.8 KB) 07 - Build a more Advance recommendation system using Content based filtering 001 Understand how to improve Model from business perspective _.mp4 (58.1 MB) 001 Understand how to improve Model from business perspective __en.vtt (7.6 KB) 002 Lets perform Feature Extraction _.mp4 (63.1 MB) 002 Lets perform Feature Extraction __en.vtt (8.6 KB) 003 Lets clean & prepare our data.mp4 (87.9 MB) 003 Lets clean & prepare our data_en.vtt (13.3 KB) 004 What is Meta-data & how to Create meta-data.mp4 (97.2 MB) 004 What is Meta-data & how to Create meta-data_en.vtt (12.5 KB) 005 Lets Recommend Movies.mp4 (43.4 MB) 005 Lets Recommend Movies_en.vtt (6.5 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 (98.0 MB) 001 Lets Perform Data Preparation_en.vtt (17.3 KB) 002 Applying Statistical Approaches on Data _.mp4 (80.3 MB) 002 Applying Statistical Approaches on Data __en.vtt (12.3 KB) 003 What is Pivot_Table & how to create it _.mp4 (65.7 MB) 003 What is Pivot_Table & how to create it __en.vtt (9.9 KB) 004 Lets Build recommender system using Co-relation.mp4 (107.5 MB) 004 Lets Build recommender system using Co-relation_en.vtt (15.1 KB) 10 - Build a Recommender System using KNN-based Collaborative filtering 001 Lets explore our data.mp4 (62.0 MB) 001 Lets explore our data_en.vtt (9.6 KB) 002 Lets Build KNN based collabarative model.mp4 (100.2 MB) 002 Lets Build KNN based collabarative model_en.vtt (14.3 KB) 003 How to make your Recommendations more Interactive _.mp4 (54.0 MB) 003 How to make your Recommendations more Interactive __en.vtt (7.5 KB) Bonus Resources.txt (0.4 KB) files
Added:	2022-01-14 10:05:45
Language:	English
Peers:	Seeders : 10 , Leechers : 12
Tags:	Development Data Science Udemy
Release name:	Udemy - Recommendation system Real World Projects using Python
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