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
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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
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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