Programming Foundations of Classification and Regression LiveLessons (Machine Learning with Python for Everyone Series), Part 1

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Programming Foundations of Classification and Regression LiveLessons (Machine Learning with Python for Everyone Series), Part 1

Torrent Contents Size: 7.4 GB

Programming Foundations of Classification and Regression LiveLessons (Machine Learning with Python for Everyone Series), Part 1
▼ show more 58 files
0
607.4 KB
01 - Programming Foundations of Classification and Regression LiveLessons (Machine Learning with Python for Everyone Series), Part 1 (Video Training) - Introduction.mp4
MP4
141.6 MB
1
161.3 KB
2
534.4 KB
02 - Topics.mp4
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14.9 MB
03 - 1.1 Environment Installation.mp4
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184.8 MB
3
241.7 KB
4
397.6 KB
04 - 1.2 Three Things You Can do with NumPy and matplotlib.mp4
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283.1 MB
05 - 1.3 Three Things You Can Do with Pandas.mp4
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263.9 MB
5
128.1 KB
6
612.1 KB
06 - 1.4 Three Things You Can Do with scikit-learn and Friends.mp4
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242.6 MB
07 - Topics.mp4
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17.3 MB
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56.4 KB
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147.3 KB
08 - 2.1 Probability.mp4
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144 MB
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892.2 KB
09 - 2.2 Distributions.mp4
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197.9 MB
10
84.4 KB
10 - 2.3 Linear Combinations.mp4
MP4
464.4 MB
11
687 KB
11 - 2.4 Geometry, Part 1.mp4
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291.9 MB
12 - 2.5 Geometry, Part 2.mp4
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379.8 MB
12
369 KB
13 - 2.6 Geometry, Part 3.mp4
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116.6 MB
13
160.7 KB
14 - 2.7 When Computers and Math Meet.mp4
MP4
198 MB
14
548.9 KB
15
881.9 KB
15 - Topics.mp4
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14.5 MB
16
735.1 KB
16 - 3.1 Setup and the Iris Dataset.mp4
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227.1 MB
17 - 3.2 Accuracy.mp4
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128.9 MB
17
803 KB
18 - 3.3 k-Nearest Neighbors.mp4
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189.4 MB
19 - 3.4 Train Test Splitting and Fitting k-NN.mp4
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363.9 MB
19
52.8 KB
20
626.7 KB
20 - 3.5 Naive Bayes.mp4
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349.4 MB
21 - Topics.mp4
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14.6 MB
21
243.6 KB
22 - 4.1 Learning Evaluation.mp4
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135.8 MB
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903.6 KB
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633.3 KB
23 - 4.2 Resource Evaluation - Time.mp4
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203.2 MB
24 - 4.3 Resource Evaluation - Memory.mp4
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229.5 MB
25 - 4.4 Scripts.mp4
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402.5 MB
25
441.3 KB
26
252.2 KB
26 - Topics.mp4
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13.4 MB
27 - 5.1 Setup and the Diabetes Dataset.mp4
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291.9 MB
27
653.2 KB
28
74.6 KB
28 - 5.2 Measures of Center.mp4
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165.1 MB
29 - 5.3 k-Nearest Neighbors for Regression.mp4
MP4
260.3 MB
29
361.3 KB
30 - 5.4 Linear Regression, Part 1.mp4
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451.8 MB
30
32.2 KB
31 - 5.5 Linear Regression, Part 2.mp4
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161.4 MB
31
668.1 KB
32
137.1 KB
32 - Topics.mp4
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11.2 MB
33 - 6.1 Optimization, Part 1.mp4
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373.6 MB
34 - 6.2 Optimization, Part 2.mp4
MP4
210.3 MB
35 - 6.3 Learning Performance.mp4
MP4
129.4 MB
36 - 6.4 Resource Evaluation.mp4
MP4
235.8 MB
37 - Programming Foundations of Classification and Regression LiveLessons (Machine Learning with Python for Everyone Series), Part 1 (Video Training) - Summary.mp4
MP4
32 MB
TutsNode.com.txt
TXT
102.4 B
[TGx]Downloaded from torrentgalaxy.to .txt
TXT
614.4 B
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416.5 KB
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