Deep Learning Recommendation Algorithms with Python | 0C6313645BACBEBDCBC5B6B44614CCC832ACABCE

Deep Learning Recommendation Algorithms with Python

Name	Deep Learning Recommendation Algorithms with Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	4.5 GB
Total Files	168
Last Seen	2025-07-18 23:38
Hash	0C6313645BACBEBDCBC5B6B44614CCC832ACABCE

/.../3 - 00c Introduction to Python Prerequisite/
21 - 14 Classes And Objects.mp4	234.1 MB
25 - Source Code.html	0.0 KB
18 - 11 Loops.mp4	175.1 MB
11 - 03 Operators.mp4	169.3 MB
22 - 15 Inheritance Examples.mp4	137.0 MB
17 - 10 If Statement Examples.mp4	123.8 MB
13 - 05 List Examples.mp4	115.1 MB
9 - 01 Variables.mp4	111.6 MB
15 - 07 Dictionaries Examples.mp4	91.5 MB
19 - 12 Functions.mp4	90.6 MB
23 - 16 Static Members Examples.mp4	82.4 MB
20 - 13 Parameters And Return Values Examples.mp4	82.3 MB
10 - 02 Type Conversion Examples.mp4	62.7 MB
8 - 00 Intro To Course And Python.mp4	60.0 MB
14 - 06 Tuples Examples.mp4	54.9 MB
12 - 04 Collections.mp4	43.7 MB
16 - 09 Conditionals.mp4	39.9 MB
24 - 17 Summary And Outro.mp4	21.9 MB
/
TutsNode.net.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../15 - 12 Build a Neural Network to Predict Ratings/
72 - SourceFiles.zip	700.3 KB
72 - Source File.html	0.0 KB
70 - 04 Build A Neural Network.mp4	100.2 MB
71 - 05 Train The Neural Network.mp4	91.7 MB
/.../1 - 00a Introduction to Recommender Systems/
5 - Source Files.html	0.0 KB
2 - 02 How To Evaluate Recommender Systems.mp4	53.5 MB
1 - 01 Introduction To Recommender Systems.mp4	35.0 MB
3 - 03 Content Based Recommendations.mp4	18.7 MB
4 - 04 Neighborhood Based Collaborative Filtering.mp4	15.0 MB
5 - SourceFiles.zip	4.8 MB
/.../4 - 01 Build a Basic Movie Recommender System/
30 - Source Files.html	0.0 KB
26 - 01 Load Data As Pandas Dataframes.mp4	100.4 MB
27 - 02 Merge Movies And Ratings Dataframes.mp4	61.4 MB
29 - 04 Test The Recommender.mp4	52.0 MB
28 - 03 Build A Correlation Matrix.mp4	47.7 MB
30 - SourceFiles.zip	1.7 MB
/.../7 - 04 Introduction to User Similarity/
39 - Source Files.html	0.0 KB
36 - 02 Find A Recommendation Based On Different Movie Features.mp4	109.5 MB
35 - 01 Load Data Into Dataframes.mp4	52.2 MB
38 - 04 Find Similar Users With Euclidean Distance.mp4	49.7 MB
37 - 03 Calculate Distance Between Users.mp4	36.7 MB
39 - SourceFiles.zip	1.7 MB
/.../8 - 05 Recommend a Movie Based on User Similarity/
43 - Source Files.html	0.0 KB
43 - SourceFiles.zip	871.7 KB
41 - 06 Find Top Similar Users.mp4	49.5 MB
42 - 07 Recommend A Movie Based On User Similarity.mp4	44.8 MB
40 - 05 Define Similarity Between Users.mp4	39.0 MB
/.../9 - 06 Recommend a Movie with a K Nearest Neighbors Classifier/
48 - Source Files.html	0.0 KB
48 - SourceFiles.zip	873.2 KB
45 - 08B Recommend A Movie With A K Nearest Neighbors Classifier.mp4	74.3 MB
46 - 09 Create A Sample User For Testing.mp4	57.8 MB
44 - 08A What Is K Nearest Neighbours.mp4	39.4 MB
47 - 10 Recommend Movies To Sample User.mp4	21.5 MB
/.../11 - 08 Data Processing Profiles and Items/
53 - Source Files.html	0.0 KB
53 - SourceFiles.zip	911.3 KB
50 - 01 Load Data For Machine Learning.mp4	111.0 MB
51 - 02 Process Data For Machine Learning.mp4	81.7 MB
52 - 03 Build Categories.mp4	58.5 MB
/.../12 - 09 Build Models for User Recommendations/
62 - Source Files.html	0.0 KB
55 - 04B What Is Regression.mp4	89.2 MB
56 - 04C Build A Ridge Regression Model.mp4	76.2 MB
58 - 06 Visualize Top Features Affecting Rating.mp4	61.3 MB
59 - 07 Build A Lasso Regression Model.mp4	58.5 MB
57 - 05 Evaluate Model Error.mp4	51.3 MB
60 - 08 Visualize Top Features From Lasso Regression.mp4	44.3 MB
54 - 04A Regression Introduction.mp4	37.6 MB
61 - 09 Determine Which Model Is Best.mp4	17.8 MB
62 - SourceFiles.zip	1.9 MB
/.../13 - 10 Build a Model to Predict Ratings/
66 - Source Files.html	0.0 KB
64 - 02 Build A Singular Value Decomposition Algorithm.mp4	76.6 MB
63 - 01 Load Data For A Neural Network.mp4	66.0 MB
65 - 03 Calculate Model Error.mp4	65.6 MB
66 - SourceFIles.zip	1.4 MB
/.../16 - 13 Data Analysis with Pandas Numpy and Scikit Learn/
81 - Source Files.html	0.0 KB
80 - 07 Build An Average Ratings Column.mp4	95.8 MB
79 - 06 Find Rating Averages For Every Movie In The Slice.mp4	56.8 MB
74 - 01 Load Data Into Dataframes.mp4	46.9 MB
77 - 04 Calculate Average Rating Of A Movie.mp4	43.9 MB
78 - 05 Find Ratings For A Movie In Every Slice.mp4	42.4 MB
76 - 03 Build A Rating Pivot Table.mp4	32.3 MB
75 - 02 Explore Data In Our Dataset.mp4	21.1 MB
73 - 00 Project Preview.mp4	14.7 MB
81 - SourceFiles.zip	1.7 MB
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/.../2 - 00b Mammoth Interactive Courses Introduction/
7 - 01 How To Learn Online Effectively.mp4	77.6 MB
6 - 00 About Mammoth Interactive.mp4	9.1 MB
/.../6 - 03 Machine Learning Fundamentals/
34 - 00C What Is Supervised Learning.mp4	61.9 MB
33 - 00B Types Of Machine Learning Models.mp4	55.1 MB
32 - 00A What Is Machine Learning.mp4	29.0 MB
/.../14 - 11 Deep Learning Fundamentals/
69 - 03 What Is Unsupervised Learning.mp4	42.8 MB
68 - 02 What Is A Neural Network.mp4	41.5 MB
67 - 01 What Is Deep Learning.mp4	36.6 MB
/.../5 - 02 Projects 2 and 3 Preview Machine Learning Movie Recommender/
31 - 00 Project Preview.mp4	20.2 MB
/.../10 - 07 Project 4 Preview Complex Machine Learning Recommender/
49 - 00 Project Preview.mp4	14.9 MB
Total files 168