|
RAR-files |
| ilearn-pip15ptmp.rar |
350,000,000 |
696B487A |
| ilearn-pip15ptmp.r00 |
350,000,000 |
82D951C5 |
| ilearn-pip15ptmp.r01 |
350,000,000 |
87550790 |
| ilearn-pip15ptmp.r02 |
350,000,000 |
572C1AF1 |
| ilearn-pip15ptmp.r03 |
350,000,000 |
B913D9C2 |
| ilearn-pip15ptmp.r04 |
350,000,000 |
8A029563 |
| ilearn-pip15ptmp.r05 |
350,000,000 |
D8AA0A15 |
| ilearn-pip15ptmp.r06 |
350,000,000 |
85F32DB2 |
| ilearn-pip15ptmp.r07 |
350,000,000 |
22088FC1 |
| ilearn-pip15ptmp.r08 |
350,000,000 |
7407526C |
| ilearn-pip15ptmp.r09 |
350,000,000 |
E93DD066 |
| ilearn-pip15ptmp.r10 |
350,000,000 |
6B80F30D |
| ilearn-pip15ptmp.r11 |
350,000,000 |
D858BFBC |
| ilearn-pip15ptmp.r12 |
350,000,000 |
98A0DFCD |
| ilearn-pip15ptmp.r13 |
350,000,000 |
6630DF6C |
| ilearn-pip15ptmp.r14 |
350,000,000 |
6CFA76B7 |
| ilearn-pip15ptmp.r15 |
350,000,000 |
2A6A2BDF |
| ilearn-pip15ptmp.r16 |
350,000,000 |
B26DEB06 |
| ilearn-pip15ptmp.r17 |
350,000,000 |
8C635EA3 |
| ilearn-pip15ptmp.r18 |
350,000,000 |
393C49AC |
| ilearn-pip15ptmp.r19 |
350,000,000 |
14C98CDA |
| ilearn-pip15ptmp.r20 |
350,000,000 |
BE56B25B |
| ilearn-pip15ptmp.r21 |
350,000,000 |
C528F99C |
| ilearn-pip15ptmp.r22 |
350,000,000 |
2327D724 |
| ilearn-pip15ptmp.r23 |
350,000,000 |
1F5C7229 |
| ilearn-pip15ptmp.r24 |
350,000,000 |
FD29EAD1 |
| ilearn-pip15ptmp.r25 |
350,000,000 |
AB2AAC4A |
| ilearn-pip15ptmp.r26 |
350,000,000 |
C594F94B |
| ilearn-pip15ptmp.r27 |
350,000,000 |
AF728A3D |
| ilearn-pip15ptmp.r28 |
350,000,000 |
E79160ED |
| ilearn-pip15ptmp.r29 |
350,000,000 |
691D7613 |
| ilearn-pip15ptmp.r30 |
350,000,000 |
05E0E2EA |
| ilearn-pip15ptmp.r31 |
350,000,000 |
B7AB897E |
| ilearn-pip15ptmp.r32 |
350,000,000 |
C58116DA |
| ilearn-pip15ptmp.r33 |
350,000,000 |
208D9CF2 |
| ilearn-pip15ptmp.r34 |
350,000,000 |
C0082470 |
| ilearn-pip15ptmp.r35 |
350,000,000 |
9C2AE6AE |
| ilearn-pip15ptmp.r36 |
350,000,000 |
7053B2F2 |
| ilearn-pip15ptmp.r37 |
160,537,881 |
31BABFEE |
|
| Total size: |
13,460,537,881 |
|
|
| Archived
files |
|
8. Extracting values from strings Strings Slicing & Indicing.mp4
[879d0cb5c0d258db]
|
16,963,340 |
85B725F3 |
|
9. String Built-in Functions.mp4
[6264a31b5fba8e4b]
|
24,769,593 |
63BB02E0 |
|
10. Numbers in Python.mp4
[26aba56f20f681f]
|
28,652,899 |
E6FB8AC2 |
|
11. Numeric Functions.mp4
[242db9ef2a40be86]
|
22,803,971 |
59DA71C4 |
|
12. Python Booleans.mp4
[2488ebe2e129fe07]
|
26,832,904 |
33F64140 |
|
13. Python Lists.mp4
[5fdd0316809838b0]
|
27,853,926 |
50E3037B |
|
14. List Built-in Functions.mp4
[9f7e2e0a3c6a8f16]
|
34,341,842 |
4281FD5F |
|
15. Python Tuples.mp4
[70522b44ef24e9cc]
|
33,043,662 |
F8328D7B |
|
16. Tuple Operations and Tuple Built-in Funcitons.mp4
[3e6ce6da377f57ba]
|
21,594,603 |
624D2B2B |
|
17. Pythons Sets.mp4
[c38e26d48c80cffb]
|
22,038,941 |
8C7A87B8 |
|
18. Sets Built-in Functions.mp4
[bd45cd4ae490f148]
|
19,355,617 |
B31C01D1 |
|
19. Mathematical Sets Operations.mp4
[d7ac70c89473acbf]
|
22,818,299 |
697C4E54 |
|
20. Python Dictionaries.mp4
[ed9d93a87745380]
|
21,836,598 |
BB071155 |
|
21. Dictionary Built-in Functions.mp4
[132e369936817a40]
|
21,115,437 |
09CBF3A2 |
|
23. Decision Control using if statements.mp4
[fdcbc661a55779ff]
|
36,028,193 |
DD058569 |
|
24. Creating conditions using or & and keywords.mp4
[c50315df5b48c0ea]
|
48,860,966 |
916DE89A |
|
25. elif statements.mp4
[1392b07191ec1206]
|
71,617,165 |
6DFFE740 |
|
26. else statements.mp4
[a0562676c70780e8]
|
44,614,498 |
7776FCD5 |
|
27. Decision control with strings and lists.mp4
[c428900396991d90]
|
75,756,762 |
2AE21650 |
|
28. Creating loops using while statements.mp4
[aeb11f4e1d3a6eec]
|
73,476,063 |
8280FF82 |
|
29. Iterating over data-types using for loops.mp4
[46dd17da93baaf99]
|
63,482,258 |
9D3B5DA6 |
|
30. Functions in Python and defining our own.mp4
[9a024565d3c74ae]
|
34,502,365 |
558F3470 |
|
31. Getting arguments during function call.mp4
[24c9d02156c7e751]
|
41,601,527 |
A947B691 |
|
32. Positional and Keyword arguments.mp4
[9567e06035f5e057]
|
76,955,355 |
9CC8D7AE |
|
33. Arguments and Parameters.mp4
[a3b0869cf62d907]
|
37,197,854 |
4DBB8195 |
|
34. Arbitrary arguments (args).mp4
[ca9c9ff1ce525d5e]
|
27,253,653 |
4DF8EBE2 |
|
35. Arbitrary keyword arguments (kwargs).mp4
[1b3c33b118060282]
|
37,684,521 |
62A6D758 |
|
36. Return values from user-defined functions using the return keyword.mp4
[202eb4a4123019b]
|
22,825,385 |
064A3317 |
|
37. pass keywords for functions.mp4
[fac1a3ccd6ca736a]
|
8,596,921 |
E54CCEAD |
|
38. lambda functions.mp4
[81d9a60919e9c6c9]
|
23,011,876 |
1383F435 |
|
39. Creating a duplicate list elements remover function.mp4
[5c7c24617af658f6]
|
28,330,103 |
4043D862 |
|
40. Redefining the built-in type( ) function.mp4
[adaf81ed3d4f9c30]
|
46,763,506 |
5AEB7FCD |
|
41. Creating a functions to smartly round decimal points in a result of addition.mp4
[3296910bedef43a7]
|
88,978,993 |
A05D8546 |
|
42. What are classes and how to create them.mp4
[8b94137770183fc8]
|
36,465,990 |
40BC2D8F |
|
43. Defining class methods.mp4
[b3a1577e909c333a]
|
12,132,486 |
95407D1A |
|
44. Adding, modifying and deleting class attributes.mp4
[f9d46d1e5461066e]
|
39,268,125 |
B7C4FF56 |
|
45. Class attributes and identifier naming convention.mp4
[e94d938d607c8bfd]
|
85,802,450 |
8F4D9EC0 |
|
46. Functions vs Class methods.mp4
[babde1a3eee41a8]
|
41,335,296 |
61D317F6 |
|
47. Operator overloading on user-defined classes.mp4
[ae9eec55456e85d]
|
67,562,708 |
D71D6481 |
|
48. Built-ins overloading on user-defined classes.mp4
[6e01f3cd02d3acf7]
|
42,699,227 |
02B1C8D2 |
|
49. Creating user-defined iterable classes.mp4
[d09154cf72afc7a5]
|
150,005,065 |
D94CB2F9 |
|
50. Containership.mp4
[d5c2559a5519bc83]
|
68,796,412 |
478F4FDA |
|
51. Inheritance.mp4
[5ccb5f4d7c597ad9]
|
49,350,051 |
997B0596 |
|
52. Accessing inherited objects.mp4
[2d04fbeee8d81c75]
|
40,842,519 |
62774F29 |
|
53. The Object class.mp4
[8ab51aeca72e86e2]
|
12,714,680 |
FBB66444 |
|
54. Multi-level Inhertiance.mp4
[b307bf5aa3942e5e]
|
35,485,454 |
7D41F701 |
|
55. Multiple Inheritance.mp4
[aa71771bb6262776]
|
61,688,044 |
5A243809 |
|
56. Error Handling in Python.mp4
[cdb0b32be6246261]
|
130,455,494 |
80D58B4B |
|
57. User-defined Error's.mp4
[e7d341cb3902265b]
|
87,494,856 |
C4611250 |
|
58. Catching errors with except block.mp4
[951da579884ec1be]
|
42,622,211 |
F25FCD44 |
|
59. Use of else & finally blocks.mp4
[c04a8c2393f21bf8]
|
54,076,031 |
C0389931 |
|
60. Modules & Packages.mp4
[74316ba5c4480e2]
|
94,888,540 |
AF154ABE |
|
61. random Module.mp4
[616bbb0d51666e96]
|
67,929,886 |
C66C1E6B |
|
62. datetime Module.mp4
[a0df344a33958c25]
|
64,253,631 |
536F23C8 |
|
63. abs( ).mp4
[2c0927d954334492]
|
18,882,327 |
B7149D19 |
|
64. all( ).mp4
[45cf3678f1ad1dc2]
|
21,444,873 |
87AB2F0F |
|
65. any( ).mp4
[a8cf4f9d7fc87389]
|
13,137,034 |
BA757F2A |
|
66. ascii( ).mp4
[7353db5a1da37a05]
|
4,150,811 |
76476961 |
|
67. bin( ).mp4
[3a2382186bb69bfc]
|
5,780,286 |
2E54805B |
|
68. callable( ).mp4
[744f8c74fc7f9542]
|
4,396,541 |
43758171 |
|
69. compile( ), exec( ) & eval( ).mp4
[1e0200f73984eded]
|
23,093,085 |
00FB76EA |
|
70. delattr( ).mp4
[1bfabe9fe8caa642]
|
27,062,176 |
CCB89C1A |
|
71. dir( ).mp4
[5518264e8b89fa8d]
|
33,646,165 |
169DCF14 |
|
72. enumerate( ).mp4
[26f3fff8e3193419]
|
30,618,215 |
99BF94FF |
|
73. filter( ).mp4
[3c5dc3032f149f9f]
|
24,330,839 |
15CB367A |
|
74. format( ).mp4
[17c78e1bbf2f132a]
|
28,714,730 |
BB83C526 |
|
76. getattr( ).mp4
[95426b9eac7a89bd]
|
12,363,744 |
9930A545 |
|
77. globals( ).mp4
[6ce461b1101bf1a]
|
31,345,463 |
E9836473 |
|
78. hasattr( ).mp4
[1573fa027851861]
|
21,335,616 |
512B7457 |
|
79. hash( ).mp4
[c777be35b060e64f]
|
8,967,816 |
9E2F92A9 |
|
80. help( ).mp4
[1a0804df4a6ad3db]
|
42,069,531 |
1226ED06 |
|
81. hex( ).mp4
[449fb5f5882cf139]
|
9,380,161 |
77F987A7 |
|
82. id( ).mp4
[8a45d3e4ed7b66f9]
|
9,014,253 |
AE5529B8 |
|
83. input( ).mp4
[88d4c4077ccc3cf2]
|
23,183,308 |
803AFF0C |
|
84. isinstance( ).mp4
[a81c399294563d35]
|
26,327,517 |
2E64C790 |
|
85. issubclass( ).mp4
[f17248f440ba7546]
|
24,722,877 |
FB96CAA9 |
|
86. iter( ) & next( ).mp4
[d01a3f4a0533777c]
|
12,124,124 |
A23D8EA1 |
|
87. locals( ).mp4
[9468af3c536b7916]
|
27,054,563 |
F858975A |
|
88. map( ).mp4
[10657f8d867b8a06]
|
35,301,695 |
5A33F086 |
|
89. oct( ).mp4
[1f85c1d517054aa9]
|
8,044,324 |
EA96FA93 |
|
90. open( ).mp4
[ed6e3f40183c1d8e]
|
34,507,177 |
275122D6 |
|
92. print( ).mp4
[60628f7b6222535c]
|
30,660,986 |
816AB498 |
|
93. range( ).mp4
[b5f9f1875ce41f5f]
|
14,505,120 |
08330091 |
|
94. repr( ).mp4
[99b5b137895e62fe]
|
8,700,597 |
BDE8028E |
|
95. reversed( ).mp4
[a69c7ff398d811b3]
|
11,385,981 |
AB1FBBD1 |
|
96. setattr( ).mp4
[cabfc9691038e777]
|
18,014,726 |
8141A2A6 |
|
97. vars( ).mp4
[710b25b63842a241]
|
12,982,331 |
9390A32F |
|
98. zip( ).mp4
[547370e8f36658a2]
|
26,135,278 |
7FE10D8D |
|
100. Creating files in PyCharm.mp4
[29ab50e7351b377f]
|
113,428,738 |
A14C73F6 |
|
101. Editing the themes & color schemes.mp4
[f18bf67de10e3757]
|
112,431,552 |
DFAC8951 |
|
103. Keymapping shortcuts.mp4
[e6a39b818bbb7282]
|
63,033,402 |
B19B2932 |
|
104. Executing Python programs.mp4
[44ab2303451492ef]
|
86,617,312 |
0A9DE79A |
|
105. GUI Introduction.mp4
[d59378f9953402c1]
|
23,826,111 |
7EC47E45 |
|
106. Creating GUI application Tk( ) windows and widgets.mp4
[2e862ddd4822bc63]
|
112,272,766 |
8CAAE79E |
|
107. Creating Button widgets.mp4
[227c1014d10f3f8c]
|
80,494,717 |
AEF0B69B |
|
108. Getting input from the user using entry field widgets.mp4
[100d540740274a54]
|
123,167,615 |
BBEE0DF9 |
|
109. Using Grid system to place widgets.mp4
[73df088645570527]
|
201,290,520 |
FC0B8E1E |
|
110. Button states.mp4
[7dc1e3757a89e473]
|
60,805,157 |
1D5463BD |
|
111. Customizing colors and fonts.mp4
[1ccdd0b3df725d32]
|
126,908,466 |
099C7865 |
|
113. Adding color theme to your applications.mp4
[49b3269ad6a9073a]
|
83,571,406 |
814632E8 |
|
114. Stylizing the appearance of the widgets (relief).mp4
[2a7e43f7e698784e]
|
136,397,363 |
9073F5D8 |
|
116. Creating Checkbox widgets.mp4
[cd7eea4dd446c77d]
|
205,459,885 |
44A623D1 |
|
117. Creating Radio Button widgets.mp4
[9ef6ae4116e628e4]
|
151,883,257 |
BEF94DA2 |
|
118. Creating Slider widgets.mp4
[55167ac0f248267a]
|
184,647,468 |
D13AECA8 |
|
119. Creating Dropdown Menu widgets.mp4
[3354cf4b8b9011fb]
|
91,438,854 |
E4C0CD15 |
|
120. Adding more windows on top of our existing main window.mp4
[7279b40685a356f9]
|
40,170,265 |
248C1E7E |
|
121. Working with Images.mp4
[e8d32de0f891956a]
|
95,288,788 |
D14487D0 |
|
122. File dialog boxes for application.mp4
[d73ca72605c7aef2]
|
176,941,439 |
7EFEAEE9 |
|
123. Dice Roller.mp4
[f051c3bcfa388182]
|
124,872,416 |
0BF7E56E |
|
125. Age Calculator (Total days & second lived).mp4
[94eb92257e31b74a]
|
331,689,111 |
40217AAF |
|
126. Length Converter application.mp4
[730f0525d3acf14e]
|
255,060,515 |
34F504DE |
|
127. Image to Icon converter.mp4
[16b82b864b1b012c]
|
358,585,637 |
5312E17A |
|
129. Data Science with Python.mp4
[43ad40e6b27ca801]
|
60,507,544 |
F9EA24FA |
|
130. Anaconda.mp4
[e8032042caf2051f]
|
40,830,909 |
62E2F5CF |
|
131. Jupyter Notebook.mp4
[cc5ed2e48840fe0]
|
32,700,819 |
67F8571B |
|
132. Data Processing with NumPy Package.mp4
[7470a78ccb17c812]
|
57,604,633 |
AABB70AC |
|
133. Pandas Series.mp4
[f7207af7a90afc72]
|
36,534,564 |
0F8D7CA9 |
|
134. n-darrays to Pandas Series.mp4
[eaff3099330bba68]
|
39,019,687 |
28C59298 |
|
135. Slicing values from Pandas Series.mp4
[7180d5b7a84327c9]
|
31,096,503 |
BD274110 |
|
136. Pandas DataFrames.mp4
[efb40406018a1f71]
|
58,835,141 |
C4B4479D |
|
137. Slicing columns, rows and values from Pandas DataFrames.mp4
[38ef6764bcf2e298]
|
60,157,527 |
1E3E1EDD |
|
138. Data Processing.mp4
[684db0fa3409624e]
|
88,852,210 |
571FC812 |
|
139. Data Cleaning.mp4
[b7ad98dd0d754579]
|
176,550,576 |
84E0F148 |
|
140. Data Analysis.mp4
[cc8fbaa49a0cc58f]
|
147,750,261 |
D0567CC1 |
|
141. Data Visualization.mp4
[c99e1a4bd4d1b864]
|
187,543,317 |
588B538B |
|
142. Customizing visualizations with matplotlib.mp4
[73c2a74d2181b973]
|
92,788,886 |
5FB365D2 |
|
144. Different types of plots with matplotlib.mp4
[2d1acae3122a7048]
|
153,286,932 |
C1FBFCDA |
|
146. Inspecting the data.mp4
[a71af8306c8f3566]
|
36,241,447 |
D8761227 |
|
147. Importing the data.mp4
[4a759cd5ed068d48]
|
27,395,680 |
E7A5BC9A |
|
148. Data Processing & Cleaning.mp4
[bc00541be28deaa3]
|
79,450,583 |
D836FF5D |
|
149. Data Analysis.mp4
[d84b3a5e714401ce]
|
92,152,303 |
58483AB8 |
|
150. Data Visualization.mp4
[357eb945faa6487e]
|
44,460,431 |
C99DA7FD |
|
151. Generating the final report.mp4
[f952a24bf253e968]
|
68,121,840 |
AA06EC73 |
|
153. Solutions Data Science Exercise 2.mp4
[b6c502c93f5301f8]
|
183,634,486 |
05C4EBA0 |
|
154. Web Development with Python & Django.mp4
[2665556ba21f57ba]
|
28,261,570 |
D8545828 |
|
155. How websites work and how we can create one.mp4
[9b0cd617a918259f]
|
40,749,496 |
0866C40A |
|
156. Starting our website project with django.mp4
[3a789d9a3d440419]
|
63,672,815 |
26861EDE |
|
157. Customizing the home page view.mp4
[b679f472be419161]
|
108,238,956 |
3F8D18E4 |
|
158. HTML Basics.mp4
[a494faf3dc0b6b77]
|
97,357,098 |
D515D91E |
|
159. Admin application and Creating our own applications.mp4
[5faacded1a6f1114]
|
93,339,565 |
BC4D06A9 |
|
160. Creating our Store view.mp4
[d9691f13b27a549b]
|
171,682,752 |
1EE5E0BF |
|
161. Creating models and storing eBooks in the database.mp4
[4deac371ba1c43e8]
|
142,476,575 |
F95C0609 |
|
162. Adding eBook's through the admin application.mp4
[96d3cc6e0c0e6981]
|
101,400,403 |
F309B8FF |
|
163. Django Template & Context system for html views.mp4
[8525c49393dd8c0b]
|
145,903,961 |
2C59FA36 |
|
164. Web Design Stylizing our html tags with CSS.mp4
[d4feb03e31d57ae5]
|
167,309,314 |
3B6EE306 |
|
165. Bootstrap as base template.mp4
[782926cb7bdafe2a]
|
186,100,632 |
FF88A339 |
|
166. Adding Bootstrap Cards as eBooks in our store webpage.mp4
[13c9fe50bcf5c63]
|
132,103,642 |
7820AA03 |
|
167. Adding Bootstrap Navigation Bar to our website.mp4
[5e98d11e6a4c96a5]
|
104,372,009 |
11CB8A92 |
|
168. Adding the Cart to our website.mp4
[27b5007b06e5851d]
|
110,493,306 |
794D6BFD |
|
169. Bootstrap containers.mp4
[722598b73f2541be]
|
62,267,590 |
2ACE11A2 |
|
170. Creating model for Cart items.mp4
[ad94702f83d7a4f0]
|
56,783,274 |
7797C37A |
|
171. Getting Book ID from the Add to Cart button.mp4
[86152734d9c7050]
|
127,896,678 |
0DA9DB04 |
|
172. Defining add_to_cart( ) view function.mp4
[fa90cb0bd0e2061d]
|
142,798,867 |
6F47E458 |
|
173. Displaying the Cart Sub-total.mp4
[d6c5bb56447368ae]
|
72,729,554 |
96DFF6EC |
|
174. Adding a delete button to cart items.mp4
[fdce866fc0759d47]
|
29,406,263 |
5BF66D60 |
|
175. Defining del_cart_item( ) view function.mp4
[76567a830fad46a0]
|
67,936,743 |
B0D27F5F |
|
176. What to display when the cart is empty.mp4
[2ef3beec3c85250b]
|
38,957,809 |
8D25D065 |
|
177. Using Bootstrap icons for html elements.mp4
[56aa869152bd303d]
|
85,573,521 |
64E3FA22 |
|
179. What is Machine Learning.mp4
[cd1f6cfb88859a45]
|
47,080,567 |
6E6ACA6E |
|
180. How machines learn.mp4
[5c52b977ff0a81e2]
|
56,121,331 |
C9C9E3E2 |
|
181. Creating a machine learning model with dataset.mp4
[58a69483ea0f8834]
|
54,538,576 |
2A52610F |
|
182. Preparing data to train the machine learning model.mp4
[8deefcedf5f244de]
|
106,152,663 |
C8CD9A88 |
|
183. Asking the model to make predictions.mp4
[f4e4cd133428564b]
|
61,401,331 |
F9C58BEB |
|
184. Testing the performance of the model.mp4
[dd98bf37d961ec32]
|
175,770,686 |
39F4E97A |
|
185. How to make training and testing sets easily.mp4
[e287902091a017a4]
|
60,372,294 |
741FF625 |
|
186. Working of the regression model.mp4
[45e14024b5fb9bcf]
|
77,585,782 |
536E82E4 |
|
187. Creating a classification model.mp4
[a7541179dcae423]
|
58,736,921 |
23CDB3BE |
|
188. Predicting whether it will rain or not and testing the predictions.mp4
[53d67783cb2e3c3c]
|
173,617,504 |
80C9CD53 |
|
190. Preparing the data.mp4
[837279d1a16a3afe]
|
81,987,942 |
EE7CC6FA |
|
191. Training the model.mp4
[e7296fbbf4aa778]
|
61,044,420 |
C0F05A4C |
|
192. Asking the model to make predictions.mp4
[b4bfd838edf21ae5]
|
65,184,508 |
A10D036A |
|
193. What is Artificial Intelligence.mp4
[4ba438ef48ba80cd]
|
25,170,883 |
10065AB6 |
|
194. Natural Language Processing.mp4
[89eb6f0d697e2acd]
|
58,443,057 |
1DE1EA21 |
|
195. Feature Extraction from text data with CountVectorization.mp4
[acf0abdb3434a92d]
|
156,184,057 |
810D8E03 |
|
196. Finding TF and IDF in extracted features from text data Text Analytics.mp4
[676d6a27d1fa3d4e]
|
88,327,154 |
F84A999E |
|
197. Working with images Computer Vision.mp4
[249a69f0a8e9078f]
|
99,654,497 |
561ABAD1 |
|
198. Changing color-spaces of images from BGR to RGB to GRAY.mp4
[dc6082f575b74b82]
|
101,888,481 |
EAF134D4 |
|
199. Reviews and ratings data to create the model.mp4
[861375032488b8bf]
|
35,023,176 |
8A3F3937 |
|
200. Extracting features and transforming the reviews data.mp4
[f54d1b521c6e2de1]
|
48,389,035 |
1EFD3042 |
|
201. Training the model to rate reviews.mp4
[8ea312a7f865e9bc]
|
51,006,778 |
DDB9D136 |
|
202. Creating the function to rate reviews (in raw format).mp4
[cf282a71fec4d07d]
|
51,055,816 |
7F7C62A6 |
|
203. Getting the data to create the model.mp4
[30ec5ef80739a2b4]
|
102,591,979 |
01815E58 |
|
204. Detecting faces in images with our model.mp4
[7e57fa88bf519609]
|
95,547,444 |
2A0495CC |
|
205. Creating a function to detect faces and show them.mp4
[c125f3bc54f89340]
|
138,645,187 |
03C01B6F |
|
2. What is Programming.mp4
[accd4d51b143970d]
|
101,296,304 |
EF655A4F |
|
3. Setting-up IDE.mp4
[4ca3c7162a14dc93]
|
282,048,959 |
BB7538FD |
|
4. Data Types in Python.mp4
[e394926f41af4b10]
|
130,387,714 |
783CB636 |
|
5. Variables.mp4
[bbd51da28bfe7a1c]
|
48,271,411 |
FC873D9B |
|
6. Variable Names.mp4
[7033a4eeaa6ba31d]
|
22,029,956 |
7CDA221E |
|
7. Python Strings.mp4
[d5f62fddd1fdcb24]
|
30,538,681 |
3450CA48 |
|
| Total size: |
13,460,519,548 |
|
|
