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585B |
0 |
186.15KB |
1 |
216.75KB |
1. Python for data mining.mp4 |
4.19MB |
10 |
172.43KB |
10. PCA.mp4 |
12.26MB |
11 |
69.37KB |
11. LDA.mp4 |
10.84MB |
12 |
183.49KB |
12. t-SNE.mp4 |
13.48MB |
13 |
145.92KB |
13. Challenge- PCA.mp4 |
5.16MB |
14 |
204.67KB |
14. Solution- PCA.mp4 |
5.80MB |
15 |
244.50KB |
15. Clustering overview.mp4 |
28.04MB |
16 |
91.42KB |
16. Penguin dataset.mp4 |
9.24MB |
17 |
17.12KB |
17. Hierarchical clustering.mp4 |
8.64MB |
18 |
154.62KB |
18. K-means.mp4 |
17.53MB |
19 |
20.83KB |
19. DBSCAN.mp4 |
12.27MB |
2 |
95.10KB |
2. What you should know.mp4 |
1.75MB |
20 |
124.78KB |
20. Challenge- K-means.mp4 |
3.44MB |
21 |
9.11KB |
21. Solution- K-means.mp4 |
8.56MB |
22 |
70.25KB |
22. Classification overview.mp4 |
25.91MB |
23 |
173.91KB |
23. Spambase dataset.mp4 |
11.54MB |
24 |
85.17KB |
24. KNN.mp4 |
13.24MB |
25 |
235.25KB |
25. Naive Bayes.mp4 |
8.54MB |
26 |
246.75KB |
26. Decision trees.mp4 |
12.42MB |
27 |
48.24KB |
27. Challenge- KNN.mp4 |
6.80MB |
28 |
218.00KB |
28. Solution- KNN.mp4 |
11.95MB |
29 |
167.17KB |
29. Association analysis overview.mp4 |
18.53MB |
3 |
222.00KB |
3. Exercise files.mp4 |
1.81MB |
30 |
239.00KB |
30. Groceries dataset.mp4 |
5.55MB |
31 |
8.72KB |
31. Apriori.mp4 |
16.11MB |
32 |
7.25KB |
32. Eclat.mp4 |
14.66MB |
33 |
110.92KB |
33. FP-Growth.mp4 |
13.18MB |
34 |
197.71KB |
34. Challenge- Apriori.mp4 |
4.93MB |
35 |
217.50KB |
35. Solution- Apriori.mp4 |
14.10MB |
36 |
108.91KB |
36. Time-series mining.mp4 |
16.82MB |
37 |
106.75KB |
37. Air Passengers dataset.mp4 |
6.64MB |
38 |
202.05KB |
38. Time-Series decomposition.mp4 |
10.77MB |
39 |
117.68KB |
39. ARIMA.mp4 |
25.78MB |
4 |
131.46KB |
4. Tools for data mining.mp4 |
25.12MB |
40 |
200.00KB |
40. MLP.mp4 |
17.85MB |
41 |
208.75KB |
41. Challenge- Decomposition.mp4 |
6.90MB |
42 |
89.86KB |
42. Solution- Decomposition.mp4 |
8.39MB |
43 |
76.06KB |
43. Text mining overview.mp4 |
17.33MB |
44 |
59.83KB |
44. Iliad dataset.mp4 |
2.94MB |
45 |
56.92KB |
45. Sentiment analysis- Binary classification.mp4 |
15.01MB |
46 |
59.75KB |
46. Sentiment analysis- Sentiment scoring.mp4 |
13.38MB |
47 |
61.07KB |
47. Word pairs.mp4 |
13.08MB |
48 |
194.25KB |
48. Challenge- Sentiment scoring.mp4 |
2.69MB |
49 |
255.16KB |
49. Solution- Sentiment scoring.mp4 |
10.49MB |
5 |
18.10KB |
5. The CRISP-DM data mining model.mp4 |
17.71MB |
50. Next steps.mp4 |
14.23MB |
6 |
225.04KB |
6. Privacy, copyright, and bias.mp4 |
17.18MB |
7 |
158.00KB |
7. Validating results.mp4 |
28.32MB |
8 |
38.01KB |
8. Dimensionality reduction overview.mp4 |
23.98MB |
9 |
228.00KB |
9. Handwritten digits dataset.mp4 |
15.30MB |
Ex_Files_Data_Mining_Python_R.zip |
1.52MB |
TutsNode.com.txt |
63B |