Download Deep Learning Recommendation Algorithms with Python Torrent

Torrent Contents Size: 4.2 GB

Deep Learning Recommendation Algorithms with Python

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0		69.5 KB
1 - 01 Introduction To Recommender Systems.mp4	MP4	33.4 MB
1		100.5 KB
2 - 02 How To Evaluate Recommender Systems.mp4	MP4	51 MB
2		557.2 KB
3		363.5 KB
4		142.3 KB
5		257.5 KB
6		565.8 KB
10 - 02 Type Conversion Examples.mp4	MP4	59.8 MB
11 - 03 Operators.mp4	MP4	161.5 MB
12 - 04 Collections.mp4	MP4	41.6 MB
13 - 05 List Examples.mp4	MP4	109.7 MB
14 - 06 Tuples Examples.mp4	MP4	52.4 MB
15 - 07 Dictionaries Examples.mp4	MP4	87.3 MB
16 - 09 Conditionals.mp4	MP4	38 MB
17 - 10 If Statement Examples.mp4	MP4	118 MB
18 - 11 Loops.mp4	MP4	167 MB
19 - 12 Functions.mp4	MP4	86.4 MB
20 - 13 Parameters And Return Values Examples.mp4	MP4	78.5 MB
21 - 14 Classes And Objects.mp4	MP4	223.3 MB
22 - 15 Inheritance Examples.mp4	MP4	130.6 MB
23 - 16 Static Members Examples.mp4	MP4	78.6 MB
24 - 17 Summary And Outro.mp4	MP4	20.8 MB
25 - Source Code.html	HTML	0 B
26 - 01 Load Data As Pandas Dataframes.mp4	MP4	95.7 MB
27 - 02 Merge Movies And Ratings Dataframes.mp4	MP4	58.6 MB
28 - 03 Build A Correlation Matrix.mp4	MP4	45.5 MB
29 - 04 Test The Recommender.mp4	MP4	49.6 MB
3 - 03 Content Based Recommendations.mp4	MP4	17.9 MB
30 - Source Files.html	HTML	0 B
30 - SourceFiles.zip	ZIP	1.6 MB
31 - 00 Project Preview.mp4	MP4	19.3 MB
32 - 00A What Is Machine Learning.mp4	MP4	27.7 MB
33 - 00B Types Of Machine Learning Models.mp4	MP4	52.5 MB
34 - 00C What Is Supervised Learning.mp4	MP4	59 MB
35 - 01 Load Data Into Dataframes.mp4	MP4	49.8 MB
36 - 02 Find A Recommendation Based On Different Movie Features.mp4	MP4	104.5 MB
37 - 03 Calculate Distance Between Users.mp4	MP4	35 MB
38 - 04 Find Similar Users With Euclidean Distance.mp4	MP4	47.4 MB
39 - Source Files.html	HTML	0 B
39 - SourceFiles.zip	ZIP	1.7 MB
4 - 04 Neighborhood Based Collaborative Filtering.mp4	MP4	14.3 MB
40 - 05 Define Similarity Between Users.mp4	MP4	37.2 MB
41 - 06 Find Top Similar Users.mp4	MP4	47.2 MB
42 - 07 Recommend A Movie Based On User Similarity.mp4	MP4	42.8 MB
43 - Source Files.html	HTML	0 B
43 - SourceFiles.zip	ZIP	851.3 KB
44 - 08A What Is K Nearest Neighbours.mp4	MP4	37.6 MB
45 - 08B Recommend A Movie With A K Nearest Neighbors Classifier.mp4	MP4	70.9 MB
46 - 09 Create A Sample User For Testing.mp4	MP4	55.1 MB
47 - 10 Recommend Movies To Sample User.mp4	MP4	20.5 MB
48 - Source Files.html	HTML	0 B
48 - SourceFiles.zip	ZIP	852.7 KB
49 - 00 Project Preview.mp4	MP4	14.2 MB
5 - Source Files.html	HTML	0 B
5 - SourceFiles.zip	ZIP	4.6 MB
50 - 01 Load Data For Machine Learning.mp4	MP4	105.9 MB
51 - 02 Process Data For Machine Learning.mp4	MP4	77.9 MB
52 - 03 Build Categories.mp4	MP4	55.8 MB
53 - Source Files.html	HTML	0 B
53 - SourceFiles.zip	ZIP	890 KB
54 - 04A Regression Introduction.mp4	MP4	35.9 MB
55 - 04B What Is Regression.mp4	MP4	85.1 MB
56 - 04C Build A Ridge Regression Model.mp4	MP4	72.6 MB
57 - 05 Evaluate Model Error.mp4	MP4	48.9 MB
58 - 06 Visualize Top Features Affecting Rating.mp4	MP4	58.4 MB
59 - 07 Build A Lasso Regression Model.mp4	MP4	55.8 MB
6 - 00 About Mammoth Interactive.mp4	MP4	8.6 MB
7		143.2 KB
8		537.8 KB
9		296.2 KB
10		420 KB
11		627.1 KB
12		584.6 KB
13		735.2 KB
14		572.1 KB
15		94.2 KB
16		402.5 KB
17		494.1 KB
18		87.8 KB
21		366.3 KB
22		120.4 KB
23		26.1 KB
24		474.3 KB
25		162.4 KB
26		994 KB
27		410.5 KB
28		592 KB
29		802.2 KB
30		212.4 KB
31		212.4 KB
32		930.7 KB
33		892.6 KB
34		486.3 KB
35		613.2 KB
36		991.5 KB
37		230.9 KB
38		396.3 KB
39		121.3 KB
40		572.7 KB
41		852.1 KB
42		539.8 KB
43		315.5 KB
44		237.4 KB
45		806.8 KB
46		121.1 KB
47		377.6 KB
48		203.8 KB
49		550.3 KB
50		401.7 KB
51		975.4 KB
52		398.4 KB
53		830.7 KB
54		144.1 KB
55		30.3 KB
56		123.9 KB
57		589.4 KB
58		154.2 KB
59		305 KB
60 - 08 Visualize Top Features From Lasso Regression.mp4	MP4	42.2 MB
60		160.5 KB
61		475.9 KB
61 - 09 Determine Which Model Is Best.mp4	MP4	17 MB
62 - SourceFiles.zip	ZIP	1.8 MB
62		901.1 KB
62 - Source Files.html	HTML	0 B
63 - 01 Load Data For A Neural Network.mp4	MP4	63 MB
63		718.2 KB
64		125.3 KB
64 - 02 Build A Singular Value Decomposition Algorithm.mp4	MP4	73 MB
65 - 03 Calculate Model Error.mp4	MP4	62.5 MB
66 - Source Files.html	HTML	0 B
66 - SourceFIles.zip	ZIP	1.3 MB
7 - 01 How To Learn Online Effectively.mp4	MP4	74 MB
8 - 00 Intro To Course And Python.mp4	MP4	57.2 MB
9 - 01 Variables.mp4	MP4	106.4 MB
TutsNode.net.txt	TXT	102.4 B
[TGx]Downloaded from torrentgalaxy.to .txt	TXT	614.4 B
66		677.1 KB
67		787.2 KB
67 - 01 What Is Deep Learning.mp4	MP4	34.9 MB
68 - 02 What Is A Neural Network.mp4	MP4	39.6 MB
68		990.8 KB
69		369.7 KB
69 - 03 What Is Unsupervised Learning.mp4	MP4	40.8 MB
70 - 04 Build A Neural Network.mp4	MP4	95.6 MB
70		413.2 KB
71 - 05 Train The Neural Network.mp4	MP4	87.4 MB
71		163 KB
72 - Source File.html	HTML	0 B
72 - SourceFiles.zip	ZIP	683.9 KB
72		350.9 KB
73		355.7 KB
73 - 00 Project Preview.mp4	MP4	14 MB
74		359.7 KB
74 - 01 Load Data Into Dataframes.mp4	MP4	44.7 MB
75 - 02 Explore Data In Our Dataset.mp4	MP4	20.1 MB
76 - 03 Build A Rating Pivot Table.mp4	MP4	30.8 MB
77 - 04 Calculate Average Rating Of A Movie.mp4	MP4	41.9 MB
78 - 05 Find Ratings For A Movie In Every Slice.mp4	MP4	40.5 MB
79 - 06 Find Rating Averages For Every Movie In The Slice.mp4	MP4	54.1 MB
80 - 07 Build An Average Ratings Column.mp4	MP4	91.4 MB
81 - Source Files.html	HTML	0 B
81 - SourceFiles.zip	ZIP	1.7 MB

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Deep Learning Recommendation Algorithms with Python

Torrent Contents Size: 4.2 GB

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