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Deep Learning Recommendation Algorithms with Python
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Name:Deep Learning Recommendation Algorithms with Python
Infohash: 0C6313645BACBEBDCBC5B6B44614CCC832ACABCE
Total Size: 4.22 GB
Magnet: Magnet Download
Seeds: 1
Leechers: 2
Stream: Watch Full Movies @ LimeMovies
Last Updated: 2025-10-25 07:54:45 (Update Now)
Torrent added: 2022-09-18 04:30:06
Torrent Files List
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python (Size: 4.22 GB) (Files: 168)
[TutsNode.net] - Deep Learning Recommendation Algorithms with Python
3 - 00c Introduction to Python Prerequisite
21 - 14 Classes And Objects.mp4
25 - Source Code.html
18 - 11 Loops.mp4
11 - 03 Operators.mp4
22 - 15 Inheritance Examples.mp4
17 - 10 If Statement Examples.mp4
13 - 05 List Examples.mp4
9 - 01 Variables.mp4
15 - 07 Dictionaries Examples.mp4
19 - 12 Functions.mp4
23 - 16 Static Members Examples.mp4
20 - 13 Parameters And Return Values Examples.mp4
10 - 02 Type Conversion Examples.mp4
8 - 00 Intro To Course And Python.mp4
14 - 06 Tuples Examples.mp4
12 - 04 Collections.mp4
16 - 09 Conditionals.mp4
24 - 17 Summary And Outro.mp4
15 - 12 Build a Neural Network to Predict Ratings
72 - SourceFiles.zip
72 - Source File.html
70 - 04 Build A Neural Network.mp4
71 - 05 Train The Neural Network.mp4
1 - 00a Introduction to Recommender Systems
5 - Source Files.html
2 - 02 How To Evaluate Recommender Systems.mp4
1 - 01 Introduction To Recommender Systems.mp4
3 - 03 Content Based Recommendations.mp4
4 - 04 Neighborhood Based Collaborative Filtering.mp4
5 - SourceFiles.zip
4 - 01 Build a Basic Movie Recommender System
30 - Source Files.html
26 - 01 Load Data As Pandas Dataframes.mp4
27 - 02 Merge Movies And Ratings Dataframes.mp4
29 - 04 Test The Recommender.mp4
28 - 03 Build A Correlation Matrix.mp4
30 - SourceFiles.zip
7 - 04 Introduction to User Similarity
39 - Source Files.html
36 - 02 Find A Recommendation Based On Different Movie Features.mp4
35 - 01 Load Data Into Dataframes.mp4
38 - 04 Find Similar Users With Euclidean Distance.mp4
37 - 03 Calculate Distance Between Users.mp4
39 - SourceFiles.zip
8 - 05 Recommend a Movie Based on User Similarity
43 - Source Files.html
43 - SourceFiles.zip
41 - 06 Find Top Similar Users.mp4
42 - 07 Recommend A Movie Based On User Similarity.mp4
40 - 05 Define Similarity Between Users.mp4
9 - 06 Recommend a Movie with a K Nearest Neighbors Classifier
48 - Source Files.html
48 - SourceFiles.zip
45 - 08B Recommend A Movie With A K Nearest Neighbors Classifier.mp4
46 - 09 Create A Sample User For Testing.mp4
44 - 08A What Is K Nearest Neighbours.mp4
47 - 10 Recommend Movies To Sample User.mp4
11 - 08 Data Processing Profiles and Items
53 - Source Files.html
53 - SourceFiles.zip
50 - 01 Load Data For Machine Learning.mp4
51 - 02 Process Data For Machine Learning.mp4
52 - 03 Build Categories.mp4
12 - 09 Build Models for User Recommendations
62 - Source Files.html
55 - 04B What Is Regression.mp4
56 - 04C Build A Ridge Regression Model.mp4
58 - 06 Visualize Top Features Affecting Rating.mp4
59 - 07 Build A Lasso Regression Model.mp4
57 - 05 Evaluate Model Error.mp4
60 - 08 Visualize Top Features From Lasso Regression.mp4
54 - 04A Regression Introduction.mp4
61 - 09 Determine Which Model Is Best.mp4
62 - SourceFiles.zip
13 - 10 Build a Model to Predict Ratings
66 - Source Files.html
64 - 02 Build A Singular Value Decomposition Algorithm.mp4
63 - 01 Load Data For A Neural Network.mp4
65 - 03 Calculate Model Error.mp4
66 - SourceFIles.zip
16 - 13 Data Analysis with Pandas Numpy and Scikit Learn
81 - Source Files.html
80 - 07 Build An Average Ratings Column.mp4
79 - 06 Find Rating Averages For Every Movie In The Slice.mp4
74 - 01 Load Data Into Dataframes.mp4
77 - 04 Calculate Average Rating Of A Movie.mp4
78 - 05 Find Ratings For A Movie In Every Slice.mp4
76 - 03 Build A Rating Pivot Table.mp4
75 - 02 Explore Data In Our Dataset.mp4
73 - 00 Project Preview.mp4
81 - SourceFiles.zip
2 - 00b Mammoth Interactive Courses Introduction
7 - 01 How To Learn Online Effectively.mp4
6 - 00 About Mammoth Interactive.mp4
6 - 03 Machine Learning Fundamentals
34 - 00C What Is Supervised Learning.mp4
33 - 00B Types Of Machine Learning Models.mp4
32 - 00A What Is Machine Learning.mp4
14 - 11 Deep Learning Fundamentals
69 - 03 What Is Unsupervised Learning.mp4
68 - 02 What Is A Neural Network.mp4
67 - 01 What Is Deep Learning.mp4
5 - 02 Projects 2 and 3 Preview Machine Learning Movie Recommender
31 - 00 Project Preview.mp4
10 - 07 Project 4 Preview Complex Machine Learning Recommender
49 - 00 Project Preview.mp4
TutsNode.net.txt
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