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[ DevCourseWeb com ] Udemy - Practical Recommender Systems For Business Applications in R
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01 - Welcome to the Course
001 What Is the Course About.mp4
001 What Is the Course About_en.vtt
002 Data and Code.html
003 Install R and RStudio.mp4
003 Install R and RStudio_en.vtt
004 Different Data Types.mp4
004 Different Data Types_en.vtt
005 Why Recommender Systems.mp4
005 Why Recommender Systems_en.vtt
__MACOSX
data_code
Section2
_Lecture10_more dta clean.txt
_Lecture11_pipeop.txt
_Lecture12_dplyr_part1.txt
_Lecture13_dplyr_part2.txt
_Lecture14_joining_inner.txt
_Lecture15_jwidelong.txt
_Lecture16_ratings.txt
_Lecture6_csv-excel.txt
_Lecture7_readHTML_xml.txt
_Lecture8_readHTML_rcurl.txt
_Lecture9_dta_r.txt
_Resp1.csv
_countries_ecologicalF.csv
_winequality-red.csv
Section3
_cosine.txt
_svdr.txt
Section4
_cluster_1.txt
_cosine_recommend.txt
_item_rec.txt
_jesterfinal151cols.csv
_recommenderlab.txt
_recommenderlab_cosine.txt
_recommenderlab_prac.txt
books
_BX-Users.csv
data_code
Rhistory
Section2
Lecture10_more dta clean.txt
Lecture11_pipeop.txt
Lecture12_dplyr_part1.txt
Lecture13_dplyr_part2.txt
Lecture14_joining_inner.txt
Lecture15_jwidelong.txt
Lecture16_ratings.txt
Lecture6_csv-excel.txt
Lecture7_readHTML_xml.txt
Lecture8_readHTML_rcurl.txt
Lecture9_dta_r.txt
Resp1.csv
_Lecture10_more dta clean.txt
_Lecture11_pipeop.txt
_Lecture12_dplyr_part1.txt
_Lecture13_dplyr_part2.txt
_Lecture14_joining_inner.txt
_Lecture15_jwidelong.txt
_Lecture16_ratings.txt
_Lecture6_csv-excel.txt
_Lecture7_readHTML_xml.txt
_Lecture8_readHTML_rcurl.txt
_Lecture9_dta_r.txt
_Resp1.csv
_countries_ecologicalF.csv
_winequality-red.csv
countries_ecologicalF.csv
winequality-red.csv
Section3
_cosine.txt
_svdr.txt
cosine.txt
svdr.txt
Section4
_cluster_1.txt
_cosine_recommend.txt
_item_rec.txt
_jesterfinal151cols.csv
_recommenderlab.txt
_recommenderlab_cosine.txt
_recommenderlab_prac.txt
books
BX-Book-Ratings.csv
BX-Books.csv
BX-Users.csv
_BX-Users.csv
cluster_1.txt
cosine_recommend.txt
item_rec.txt
jesterfinal151cols.csv
recommenderlab.txt
recommenderlab_cosine.txt
recommenderlab_prac.txt
02 - Basic R Programming
001 Read CSV and Excel Data.mp4
001 Read CSV and Excel Data_en.vtt
002 Read in Data from Online HTML Tables-Part 1.mp4
002 Read in Data from Online HTML Tables-Part 1_en.vtt
003 Read in Data from Online HTML Tables-Part 2.mp4
003 Read in Data from Online HTML Tables-Part 2_en.vtt
004 Data Cleaning.mp4
004 Data Cleaning_en.vtt
005 More Data Cleaning.mp4
005 More Data Cleaning_en.vtt
006 Pre-processing Tasks and the Pipe Operator.mp4
006 Pre-processing Tasks and the Pipe Operator_en.vtt
007 DPLYR-1.mp4
007 DPLYR-1_en.vtt
008 DPLYR-2.mp4
008 DPLYR-2_en.vtt
009 Some Joining.mp4
009 Some Joining_en.vtt
010 The Tall and Short Of It.mp4
010 The Tall and Short Of It_en.vtt
011 Visualize Ratings.mp4
011 Visualize Ratings_en.vtt
03 - Basic Statistical Concepts Underpinning Recommender Systems
001 Principal Components Analysis (PCA)-Theory.mp4
001 Principal Components Analysis (PCA)-Theory_en.vtt
002 Implement PCA in R.mp4
002 Implement PCA in R_en.vtt
003 Single Vector Decomposition (SVD)- Theory.mp4
003 Single Vector Decomposition (SVD)- Theory_en.vtt
004 Implement SVD in R.mp4
004 Implement SVD in R_en.vtt
005 Unsupervised Learning-Theory.mp4
005 Unsupervised Learning-Theory_en.vtt
006 k-Means Clustering-Theory.mp4
006 k-Means Clustering-Theory_en.vtt
007 K-Means Implementation.mp4
007 K-Means Implementation_en.vtt
008 Supervised Learning-Theory.mp4
008 Supervised Learning-Theory_en.vtt
009 Cosine Similarity.mp4
009 Cosine Similarity_en.vtt
04 - What Are Recommender Systems
001 Different Types of Recommender Systems.mp4
001 Different Types of Recommender Systems_en.vtt
002 The Recommenderlab Package.mp4
002 The Recommenderlab Package_en.vtt
003 Prepare Your Data For Use in Recommenderlab.mp4
003 Prepare Your Data For Use in Recommenderlab_en.vtt
004 A Simple Cosine Similarity Based Recommender Engine.mp4
004 A Simple Cosine Similarity Based Recommender Engine_en.vtt
005 Explore Other Recommenderlab Models.mp4
005 Explore Other Recommenderlab Models_en.vtt
006 Collaborative Filtering With Cosine Similarity.mp4
006 Collaborative Filtering With Cosine Similarity_en.vtt
007 Clustering For Identifying Similar Books.mp4
007 Clustering For Identifying Similar Books_en.vtt
008 Identify Top Reader Preferences.mp4
008 Identify Top Reader Preferences_en.vtt
009 Item Based Recommendations.mp4
009 Item Based Recommendations_en.vtt
05 - Miscellaneous Section
001 Using R Within Colab.mp4
001 Using R Within Colab_en.vtt
002 What Are Wordclouds.mp4
002 What Are Wordclouds_en.vtt
Bonus Resources.txt
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