|
RAR-files |
| ilearn-mladsazhop2022.rar |
350,000,000 |
D9281AA3 |
| ilearn-mladsazhop2022.r00 |
350,000,000 |
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| ilearn-mladsazhop2022.r01 |
350,000,000 |
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| ilearn-mladsazhop2022.r02 |
350,000,000 |
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| ilearn-mladsazhop2022.r03 |
350,000,000 |
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| ilearn-mladsazhop2022.r04 |
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| ilearn-mladsazhop2022.r05 |
350,000,000 |
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| ilearn-mladsazhop2022.r06 |
350,000,000 |
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| ilearn-mladsazhop2022.r07 |
350,000,000 |
214C6DF4 |
| ilearn-mladsazhop2022.r08 |
350,000,000 |
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| ilearn-mladsazhop2022.r09 |
350,000,000 |
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| ilearn-mladsazhop2022.r10 |
350,000,000 |
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| ilearn-mladsazhop2022.r11 |
350,000,000 |
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| ilearn-mladsazhop2022.r12 |
350,000,000 |
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| ilearn-mladsazhop2022.r13 |
350,000,000 |
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| ilearn-mladsazhop2022.r14 |
350,000,000 |
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| ilearn-mladsazhop2022.r15 |
350,000,000 |
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| ilearn-mladsazhop2022.r16 |
350,000,000 |
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| ilearn-mladsazhop2022.r17 |
350,000,000 |
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| ilearn-mladsazhop2022.r18 |
350,000,000 |
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| ilearn-mladsazhop2022.r19 |
247,983,429 |
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|
| Total size: |
7,247,983,429 |
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| Archived
files |
|
4. Python IDE.mp4
[773cce119cdfa05c]
|
7,877,216 |
F3EA1190 |
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5. IDE Installation.mp4
[102ed5862dbfda8a]
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23,357,069 |
CB109D04 |
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6. Installation of Required Libraries.mp4
[49187f5c96711733]
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74,216,523 |
90FE169B |
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7. Spyder Interface.mp4
[cfd072c09ea7a22b]
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48,607,570 |
D4EDDC2A |
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9. NumPy1.mp4
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39,308,168 |
7622CBC8 |
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10. NumPy2.mp4
[9aaec16d4fff0025]
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59,670,757 |
013A8CE6 |
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11. NumPy3.mp4
[99d7a5e6719303e2]
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88,624,066 |
48DF475A |
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12. NumPy4.mp4
[48d7a0deaccfe1ca]
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59,303,462 |
1B0B84D2 |
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13. NumPy5.mp4
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|
160,053,775 |
E5AAA04E |
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14. NumPy6.mp4
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|
141,031,219 |
C0656E9E |
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15. Pandas1.mp4
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100,251,478 |
36617E36 |
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16. Pandas2.mp4
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122,621,119 |
0FF1577E |
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17. Pandas3.mp4
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123,550,833 |
DFF99DB4 |
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18. Pandas4.mp4
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212,901,076 |
90AA254C |
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19. Visualization with Matplotlib1.mp4
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104,275,838 |
F17BBFD9 |
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20. Visualization with Matplotlib2.mp4
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215,207,794 |
E56844F7 |
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21. Visualization with Matplotlib3.mp4
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198,018,283 |
319F3BD0 |
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22. Visualization with Matplotlib4.mp4
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149,931,047 |
D2761EA5 |
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23. Visualization with Matplotlib5.mp4
[2bea088490eb2bad]
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135,525,061 |
CADD1FD9 |
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24. Reading and Modifying a Dataset.mp4
[507fdc4234acbd2a]
|
162,061,363 |
DB55F40B |
|
25. Statistics1.mp4
[3bf211cf86743a21]
|
35,693,302 |
FA7F8861 |
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26. Statistics2.mp4
[5e16a7c53fcd4c55]
|
217,567,477 |
C4F7714B |
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27. Statistics3 - Covariance.mp4
[f57443a11f7434a5]
|
112,700,576 |
2020F8FB |
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28. Missing Values1.mp4
[5e003f298110417a]
|
135,941,173 |
145F14F0 |
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29. Missing Values2.mp4
[c10ae2714b1860c0]
|
230,032,108 |
F340CE3D |
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30. Outlier Detection1.mp4
[1272eb80b491b942]
|
76,751,127 |
D85DB204 |
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31. Outlier Detection2.mp4
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137,010,132 |
6B0D58BE |
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32. Outlier Detection3.mp4
[f0fe1375ecfa4413]
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32,518,408 |
D3B5323B |
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33. Concatenation.mp4
[36cd95de926f3029]
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69,085,015 |
86D65658 |
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34. Dummy Variable.mp4
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60,385,953 |
AAD0583C |
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35. Normalization.mp4
[6dc8c7f321a8dd76]
|
195,949,417 |
176378E4 |
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36. Learning Types.mp4
[15b363d90b187e5a]
|
47,648,038 |
85485875 |
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37. Supervised Learning Models - Introduction and Understanding the Data.mp4
[9120454cc2fc042d]
|
245,104,805 |
AE24A0FE |
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38. k-NN Concepts.mp4
[1d005033b5d6f64e]
|
50,364,233 |
107BA7D5 |
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39. k-NN Model Development.mp4
[b2e30a35cb533d6e]
|
147,486,150 |
EC3E0841 |
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40. k-NN Training-Set and Test-Set Creation.mp4
[f12cda62c6ee0c99]
|
239,512,182 |
A168761A |
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41. Decision Tree Concepts.mp4
[7f7697c754d41832]
|
26,868,546 |
699E9E0C |
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42. Decision Tree Model Development.mp4
[2d50dd72167bb8d2]
|
70,082,502 |
2D40D87D |
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43. Decision Tree - Cross Validation.mp4
[66819882da7efa34]
|
57,291,600 |
51985C5F |
|
44. Naive Bayes Concepts.mp4
[2f027716c454e7c5]
|
62,103,150 |
A7DE2FBA |
|
45. Naive Bayes Model Development.mp4
[860fcc89c655ab79]
|
61,810,333 |
04BDFFAE |
|
46. Logistic Regression Concepts.mp4
[74660a558bd6c4e7]
|
11,380,694 |
018A9143 |
|
47. Logistic Regression Model Development.mp4
[4809f1d86ed19ad7]
|
117,571,359 |
58BB6C75 |
|
48. Model Evaluation Concepts.mp4
[97b82221b337ccc8]
|
87,523,952 |
FD8E6347 |
|
49. Model Evaluation - Calculating with Python.mp4
[1c8691ba15308e98]
|
182,491,713 |
66764580 |
|
50. Simple and Multiple Linear Regression Concepts.mp4
[a21bce4f9bc39323]
|
222,497,108 |
39017311 |
|
51. Multiple Linear Regression - Model Development.mp4
[663b2d5fd396abbf]
|
79,258,000 |
86149D23 |
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52. Evaluation Metrics - Concepts.mp4
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|
51,873,405 |
7AE3D646 |
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53. Evaluation Metrics - Implementation.mp4
[b91654699e099ac3]
|
167,665,090 |
E7079CE5 |
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54. Polynomial Linear Regression Concepts.mp4
[f50c73717fc25142]
|
27,672,993 |
4B96B6B4 |
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55. Polynomial Linear Regression Model Development.mp4
[e44e3e04395a6a1]
|
229,764,045 |
CB2D5AC2 |
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56. Random Forest Concepts.mp4
[5d4f180ac3ddab88]
|
31,699,935 |
1A07F738 |
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57. Random Forest Model Development.mp4
[2def0c2fb98c35c0]
|
258,206,000 |
7AA28A72 |
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58. Support Vector Regression Concepts.mp4
[99043f7fff4955b6]
|
28,275,959 |
B439FE69 |
|
59. Support Vector Regression Model Development.mp4
[ffe3041262062459]
|
126,884,729 |
F2634090 |
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60. Introduction.mp4
[7fc4339fd7cb81aa]
|
39,961,180 |
8C46220B |
|
61. K-means Concepts1.mp4
[232ed5c562388a25]
|
46,693,484 |
1234E404 |
|
62. K-means Concepts2.mp4
[e253c66b47704f4e]
|
22,309,939 |
4EB48C7F |
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63. K-means Model Development1.mp4
[473b53fe5d685862]
|
37,724,636 |
A4404FFD |
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64. K-means Model Development2.mp4
[cd9f4223ccac4237]
|
108,871,874 |
3DF30E8D |
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65. K-means - Model Evaluation.mp4
[60df48125fbac118]
|
107,376,020 |
A2A8FBA5 |
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66. DBSCAN Concepts.mp4
[68e3ed76bf0c6c5e]
|
28,154,058 |
D1D9FF77 |
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67. DBSCAN Model Development.mp4
[760c6331250f1d17]
|
91,086,738 |
51848F53 |
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68. Hierarchical Clustering Concepts.mp4
[811b9d36b9c684fc]
|
25,469,374 |
0F2309C0 |
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69. Hierarchical Clustering Model Development.mp4
[bb66b7442a6538bd]
|
152,971,628 |
0EEED27E |
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70. Introduction.mp4
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|
17,851,166 |
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71. Support Vector Regression - Model Tuning.mp4
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|
131,715,637 |
84BDE5EA |
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72. K-Means - Model Tuning.mp4
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|
16,040,485 |
B51E992E |
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73. k-NN - Model Tuning.mp4
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|
140,128,206 |
5A9C7876 |
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74. Overfitting and Underfitting.mp4
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|
75,586,688 |
CC6BA59B |
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1. Course Content.mp4
[356bb704bce85e91]
|
17,898,902 |
2316BD45 |
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2. What is Machine Learning Some Basic Terms.mp4
[7d1adf72dc800783]
|
27,071,340 |
94338356 |
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| Total size: |
7,247,976,281 |
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