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  1. Урок 1. 00:02:28
    Introduction To The Course
  2. Урок 2. 00:08:55
    Course Outline
  3. Урок 3. 00:00:15
    Course Review Request
  4. Урок 4. 00:03:50
    Introduction to python
  5. Урок 5. 00:03:24
    Variables in python
  6. Урок 6. 00:08:49
    List in python
  7. Урок 7. 00:18:31
    list function (append)
  8. Урок 8. 00:09:57
    Dictionary in python
  9. Урок 9. 00:10:25
    Tuple in python
  10. Урок 10. 00:07:07
    Sets in python
  11. Урок 11. 00:06:02
    If else in python
  12. Урок 12. 00:17:06
    For loop in python
  13. Урок 13. 00:05:52
    list comprehension in python
  14. Урок 14. 00:11:29
    While loop in python
  15. Урок 15. 00:09:42
    Functions in python
  16. Урок 16. 00:01:41
    Introduction To Pan Card Tempering Detector
  17. Урок 17. 00:03:50
    Loading libraries and dataset
  18. Урок 18. 00:12:19
    Creating the pancard detector with opencv
  19. Урок 19. 00:03:40
    Creating the Flask App
  20. Урок 20. 00:04:46
    Creating Important functions
  21. Урок 21. 00:05:36
    Deploy the app in Heruko1
  22. Урок 22. 00:01:47
    Testing the deployed pan card detector
  23. Урок 23. 00:01:53
    Introduction to dog breed prediction
  24. Урок 24. 00:06:06
    Importing the data and libraries
  25. Урок 25. 00:03:01
    Data Preprocessing
  26. Урок 26. 00:06:58
    Build and Train Model
  27. Урок 27. 00:02:19
    Testing the model
  28. Урок 28. 00:06:30
    Creating the flask App
  29. Урок 29. 00:04:03
    Running the app in system
  30. Урок 30. 00:02:01
    Introduction Image Watermarking
  31. Урок 31. 00:02:41
    Importing libraries and logo
  32. Урок 32. 00:08:37
    Create text and image watermark
  33. Урок 33. 00:13:06
    Creating the app
  34. Урок 34. 00:05:19
    Deploying the app in heroku
  35. Урок 35. 00:03:18
    Introduction to traffic sign classification
  36. Урок 36. 00:05:46
    importing the data and libraries
  37. Урок 37. 00:04:13
    Image processing
  38. Урок 38. 00:06:51
    creating and testing the model
  39. Урок 39. 00:05:07
    Creating model for test set
  40. Урок 40. 00:02:10
    Introduction to text extraction
  41. Урок 41. 00:03:36
    Importing libraries and data
  42. Урок 42. 00:04:17
    Extracting the test from image
  43. Урок 43. 00:07:48
    Modifying the extractor
  44. Урок 44. 00:08:11
    creating the extractor app
  45. Урок 45. 00:02:10
    running the extractor app
  46. Урок 46. 00:03:50
    Introduction -Plant Disease Prediction
  47. Урок 47. 00:03:39
    Importing libraries and data
  48. Урок 48. 00:04:57
    Understanding the data and data preprocessing
  49. Урок 49. 00:07:24
    Model building
  50. Урок 50. 00:11:19
    Creating an app using streamlit
  51. Урок 51. 00:03:03
    Introduction Vehicle Detection
  52. Урок 52. 00:03:01
    Importing libraries and data Vehicle Detection
  53. Урок 53. 00:10:44
    Transforming Images and creating output
  54. Урок 54. 00:17:18
    Creating a flask APP Vehicle Detection
  55. Урок 55. 00:02:30
    Introduction to Face Swap Application
  56. Урок 56. 00:04:23
    Importing libraries and data FACE SWAP
  57. Урок 57. 00:14:00
    Data preprocessing and creating output FACE SWAP
  58. Урок 58. 00:14:40
    Creating A Flask APP FACE SWAP
  59. Урок 59. 00:02:32
    Introduction to Bird Species Prediction
  60. Урок 60. 00:06:05
    Importing Libraries And Data
  61. Урок 61. 00:03:28
    Data preprocessing
  62. Урок 62. 00:10:07
    Creating ML Model
  63. Урок 63. 00:13:18
    Creating A Flask APP
  64. Урок 64. 00:02:56
    Introduction to Intel Image Classification
  65. Урок 65. 00:07:02
    Importing and processing data
  66. Урок 66. 00:08:45
    Creating a Model
  67. Урок 67. 00:12:18
    Creating a Flask App
  68. Урок 68. 00:03:37
    Introduction - Language Translator App
  69. Урок 69. 00:02:43
    Setting Service
  70. Урок 70. 00:08:23
    Integrating Service
  71. Урок 71. 00:14:03
    Coding the UI
  72. Урок 72. 00:11:53
    Deployment on Heroku
  73. Урок 73. 00:02:25
    Project Overview
  74. Урок 74. 00:04:30
    Introduction
  75. Урок 75. 00:09:34
    Setting up Watson Studio Part-1
  76. Урок 76. 00:07:16
    Setting up Watson Studio Part-2
  77. Урок 77. 00:05:02
    Deploying the Model on Deployment Center
  78. Урок 78. 00:12:02
    Integrating Watson Service with UI
  79. Урок 79. 00:13:26
    Deployment on Heroku Cloud
  80. Урок 80. 00:04:11
    Overview -Laptop Price Predictor
  81. Урок 81. 00:04:59
    EDA Part-1
  82. Урок 82. 00:11:54
    EDA Part-2
  83. Урок 83. 00:09:09
    EDA Part-3
  84. Урок 84. 00:11:12
    EDA Part-4
  85. Урок 85. 00:12:49
    EDA Part-5
  86. Урок 86. 00:17:07
    EDA Part-6
  87. Урок 87. 00:14:37
    EDA Part-7
  88. Урок 88. 00:20:25
    Model Building Part-1
  89. Урок 89. 00:13:57
    Model Building Part-2
  90. Урок 90. 00:15:17
    Model Building Part-3
  91. Урок 91. 00:09:53
    Model Building Part-4
  92. Урок 92. 00:02:11
    Model Building Part-5
  93. Урок 93. 00:15:24
    Integrating with UI
  94. Урок 94. 00:09:38
    Deployment on Heroku
  95. Урок 95. 00:06:26
    Introduction - WhatsApp Text Analyzer
  96. Урок 96. 00:02:39
    Fetching Data from WhatsApp
  97. Урок 97. 00:07:37
    Project Structure
  98. Урок 98. 00:11:09
    Text Processing Part 1
  99. Урок 99. 00:14:37
    Text Processing Part 2
  100. Урок 100. 00:05:55
    Text Processing Part 3
  101. Урок 101. 00:14:12
    Text Processing Part 4
  102. Урок 102. 00:12:37
    Text Analytics Part 1
  103. Урок 103. 00:10:33
    Text Analytics Part 2
  104. Урок 104. 00:12:37
    Text Analytics Part 3
  105. Урок 105. 00:12:13
    Text Analytics Part 4
  106. Урок 106. 00:11:44
    Text Analytics Part 5
  107. Урок 107. 00:07:57
    Text Analytics Part 6
  108. Урок 108. 00:10:38
    Deployment on Heroku Cloud
  109. Урок 109. 00:03:41
    Introduction
  110. Урок 110. 00:12:43
    Coding Recommendation System
  111. Урок 111. 00:14:50
    Integrating with Flask Server
  112. Урок 112. 00:07:39
    Exploratory Data Analysis
  113. Урок 113. 00:09:28
    Integrating Python Code with JavaScript
  114. Урок 114. 00:07:51
    Deployment on Heroku Cloud
  115. Урок 115. 00:04:57
    Introduction
  116. Урок 116. 00:12:31
    EDA Part 1
  117. Урок 117. 00:07:06
    EDA Part 2
  118. Урок 118. 00:12:30
    EDA Part 3
  119. Урок 119. 00:09:31
    EDA Part 4
  120. Урок 120. 00:14:44
    Model Building
  121. Урок 121. 00:10:14
    Coding the UI
  122. Урок 122. 00:14:25
    Deployment on HerokuCloud
  123. Урок 123. 00:03:49
    Introduction
  124. Урок 124. 00:08:56
    EDA Part 1
  125. Урок 125. 00:11:10
    EDA Part 2
  126. Урок 126. 00:11:26
    Feature Selection Part 1
  127. Урок 127. 00:05:29
    Feature Selection Part 2
  128. Урок 128. 00:06:14
    Model Building
  129. Урок 129. 00:05:49
    Model Evaluation
  130. Урок 130. 00:10:10
    Coding the UI Part 1
  131. Урок 131. 00:11:09
    Coding the UI Part 2
  132. Урок 132. 00:12:44
    Model Deployment on Azure Part 1
  133. Урок 133. 00:02:48
    Model Deployment on Azure Part 2
  134. Урок 134. 00:04:34
    Introduction -Campus Placement Predictor App
  135. Урок 135. 00:09:31
    Data Preprocessing
  136. Урок 136. 00:10:27
    EDA Part 1
  137. Урок 137. 00:07:57
    EDA Part 2
  138. Урок 138. 00:13:58
    Feature Selection
  139. Урок 139. 00:05:10
    Model Building
  140. Урок 140. 00:14:56
    Hyper Parameter Tuning, Model Testing
  141. Урок 141. 00:06:23
    Coding the UI Part 1
  142. Урок 142. 00:09:22
    Coding the UI Part 2
  143. Урок 143. 00:12:41
    Coding the UI Part 3
  144. Урок 144. 00:14:22
    Deployment Part 1 -Microsoft Azure
  145. Урок 145. 00:02:01
    Deployment Part 2 -Microsoft Azure
  146. Урок 146. 00:04:55
    Introduction -Car Acceptability Predictor =
  147. Урок 147. 00:11:45
    Data Preprocessing
  148. Урок 148. 00:08:32
    Model Building
  149. Урок 149. 00:13:31
    Coding the UI
  150. Урок 150. 00:11:53
    Integrating Jinja Framework
  151. Урок 151. 00:07:18
    Integrating JavaScript with Flask
  152. Урок 152. 00:16:47
    Deployment on Google Cloud Platform
  153. Урок 153. 00:03:36
    Introduction --Book Genre Classification App
  154. Урок 154. 00:10:21
    Text Processing Part 1
  155. Урок 155. 00:10:30
    Text Processing Part 2
  156. Урок 156. 00:10:25
    Model Building
  157. Урок 157. 00:06:02
    Model Testing
  158. Урок 158. 00:11:12
    Integrating Model with Flask
  159. Урок 159. 00:12:14
    Touch points on AWS
  160. Урок 160. 00:28:39
    Deploying model on AWS EC2 instance
  161. Урок 161. 00:03:09
    Fixing the Errors
  162. Урок 162. 00:02:09
    Introduction to Sentiment Analysis Logistic Regression
  163. Урок 163. 00:18:32
    Project Notebook Google Colab
  164. Урок 164. 00:10:56
    Building Django App
  165. Урок 165. 00:12:37
    Deploying APP in heruko
  166. Урок 166. 00:02:28
    Introduction
  167. Урок 167. 00:27:32
    Creating Colab Notebook
  168. Урок 168. 00:11:00
    Creating Django App
  169. Урок 169. 00:09:53
    Deploying APP in heroku
  170. Урок 170. 00:02:35
    Introduction -Working with Pokemon Dataset
  171. Урок 171. 00:20:01
    Creating Colab Notebook
  172. Урок 172. 00:12:35
    Creating Django APP
  173. Урок 173. 00:09:03
    Deploying APP in heroku
  174. Урок 174. 00:02:45
    Introduction to face app
  175. Урок 175. 00:14:54
    Creating The Face App Using OpenCV
  176. Урок 176. 00:10:16
    Creating The face app opencv
  177. Урок 177. 00:13:15
    Creating The face app opencv
  178. Урок 178. 00:03:06
    Introduction To Cats Vs Dogs Classification
  179. Урок 179. 00:25:57
    Creating Project Notebook
  180. Урок 180. 00:08:46
    Building Model -Colab
  181. Урок 181. 00:07:01
    Building Flask App
  182. Урок 182. 00:09:56
    Building Flask App Deployment
  183. Урок 183. 00:02:56
    1
  184. Урок 184. 00:22:59
    Colab Notebook Customer Revenue Prediction
  185. Урок 185. 00:14:24
    Creating Flask App
  186. Урок 186. 00:09:17
    Deploying Flask App
  187. Урок 187. 00:02:20
    Introduction- Gender From Voice Prediction
  188. Урок 188. 00:25:23
    Creating Project Notebook
  189. Урок 189. 00:12:48
    Creating Project App Django
  190. Урок 190. 00:08:41
    Deploying The App
  191. Урок 191. 00:04:23
    Introduction To - Restaurant Recommendation System
  192. Урок 192. 00:14:06
    Creating Colab Notebook
  193. Урок 193. 00:10:40
    Exploratory Data Analysis
  194. Урок 194. 00:31:58
    Data Analysis 2
  195. Урок 195. 00:03:28
    Introduction to Happiness Ranking
  196. Урок 196. 00:28:39
    Project Notebook
  197. Урок 197. 00:17:37
    Creating Django App
  198. Урок 198. 00:08:51
    Deploying Django App
  199. Урок 199. 00:04:28
    Introduction To Forest Fire
  200. Урок 200. 00:25:54
    Project Notebook
  201. Урок 201. 00:08:23
    Project Notebook Part 2
  202. Урок 202. 00:15:17
    Creating Django APP
  203. Урок 203. 00:09:16
    Deploying Django App
  204. Урок 204. 00:02:41
    Introduction
  205. Урок 205. 00:07:21
    Machine Learning model building part 1
  206. Урок 206. 00:11:54
    Machine Learning model building part 2
  207. Урок 207. 00:13:41
    - Machine Learning model building part 3
  208. Урок 208. 00:12:19
    Creating Django Application part 1
  209. Урок 209. 00:08:23
    Creating Django Application part 2
  210. Урок 210. 00:08:37
    Deploying on Heroku
  211. Урок 211. 00:03:09
    Introduction
  212. Урок 212. 00:12:28
    Introductory Machine Learning model building
  213. Урок 213. 00:14:17
    Feature Building and Selection
  214. Урок 214. 00:05:41
    Model Building
  215. Урок 215. 00:07:08
    Django Application Introduction
  216. Урок 216. 00:15:15
    Django Application building
  217. Урок 217. 00:06:36
    Deploying on Heroku
  218. Урок 218. 00:02:58
    Introduction
  219. Урок 219. 00:16:49
    Importing libraries and Understanding data
  220. Урок 220. 00:09:58
    Building the model
  221. Урок 221. 00:15:52
    Building Django Application
  222. Урок 222. 00:08:00
    Deploying on Heroku
  223. Урок 223. 00:02:48
    Introduction
  224. Урок 224. 00:14:57
    Introduction to libraries and dataset
  225. Урок 225. 00:10:02
    Preprocessing the data
  226. Урок 226. 00:07:15
    building the model
  227. Урок 227. 00:14:58
    Django Application
  228. Урок 228. 00:07:18
    Deploying to Heroku
  229. Урок 229. 00:03:08
    Introduction
  230. Урок 230. 00:15:22
    Importing Libraries and understanding data
  231. Урок 231. 00:13:09
    Building and training the model
  232. Урок 232. 00:14:02
    Django Application
  233. Урок 233. 00:07:22
    Deploying on heroku
  234. Урок 234. 00:03:29
    Introduction
  235. Урок 235. 00:13:35
    Understanding the data
  236. Урок 236. 00:17:16
    Outliers and Model
  237. Урок 237. 00:15:25
    Building Django Application
  238. Урок 238. 00:07:56
    Deploying to Heroku
  239. Урок 239. 00:02:35
    Introduction
  240. Урок 240. 00:17:04
    Introduction and handling the data
  241. Урок 241. 00:06:19
    Building the model
  242. Урок 242. 00:13:26
    Django Application
  243. Урок 243. 00:06:37
    Heroku Deployment
  244. Урок 244. 00:03:02
    Introduction
  245. Урок 245. 00:14:01
    Understanding the data
  246. Урок 246. 00:09:20
    Feature Selection and model building
  247. Урок 247. 00:15:26
    Django Application
  248. Урок 248. 00:08:00
    Deploying on Heroku
  249. Урок 249. 00:03:47
    Introduction
  250. Урок 250. 00:10:18
    Understanding the data
  251. Урок 251. 00:15:06
    Cleaning the data
  252. Урок 252. 00:10:10
    Building the model
  253. Урок 253. 00:13:31
    Implementing Django Application
  254. Урок 254. 00:07:40
    Deploying to heroku
  255. Урок 255. 00:05:41
    Introduction
  256. Урок 256. 00:12:30
    Cleaning the data
  257. Урок 257. 00:17:18
    Building the model
  258. Урок 258. 00:16:27
    Implementing Django web application
  259. Урок 259. 00:09:05
    Deploying to Heroku
  260. Урок 260. 00:04:22
    Importing libraries and data
  261. Урок 261. 00:03:55
    Understanding data
  262. Урок 262. 00:12:05
    Data visualization and data preprocessing
  263. Урок 263. 00:05:41
    Model building part 1
  264. Урок 264. 00:06:20
    Model building part 2
  265. Урок 265. 00:07:31
    Importing libraries and data
  266. Урок 266. 00:07:05
    Text normalization
  267. Урок 267. 00:04:23
    Lemmatization
  268. Урок 268. 00:10:44
    Data preprocessing
  269. Урок 269. 00:10:23
    Model Building
  270. Урок 270. 00:04:28
    Importing libraries and data Parkinson Syndrome
  271. Урок 271. 00:08:08
    Understanding the data
  272. Урок 272. 00:07:29
    data visualization
  273. Урок 273. 00:09:09
    Model building part 1
  274. Урок 274. 00:11:41
    Model building part 2
  275. Урок 275. 00:03:41
    Importing libraries and data
  276. Урок 276. 00:03:37
    data preprocessing
  277. Урок 277. 00:07:08
    Text cleaning
  278. Урок 278. 00:02:12
    Vectorizer
  279. Урок 279. 00:13:35
    Model Building
  280. Урок 280. 00:07:01
    Importing libraries and data
  281. Урок 281. 00:04:41
    Understanding data
  282. Урок 282. 00:09:22
    data visualization and preprocessing
  283. Урок 283. 00:06:49
    Balancing the target column
  284. Урок 284. 00:10:43
    Model building
  285. Урок 285. 00:06:29
    Model evaluation
  286. Урок 286. 00:03:07
    Introduction to the Project
  287. Урок 287. 00:02:25
    Importing Libraries and Datasets
  288. Урок 288. 00:07:45
    Data Analysis
  289. Урок 289. 00:06:16
    Model Building Part 1
  290. Урок 290. 00:04:30
    Model Building Part 2
  291. Урок 291. 00:07:46
    Model building and Predictions using Auto ML(Eval ML)
  292. Урок 292. 00:04:42
    Introduction to the Project
  293. Урок 293. 00:03:18
    Importing Libraries and DataSet
  294. Урок 294. 00:07:03
    Data Analysis
  295. Урок 295. 00:07:43
    Model Building using ML
  296. Урок 296. 00:10:21
    Model Building and Prediction using PyCaret(AutoML)
  297. Урок 297. 00:04:08
    Introduction to the Project
  298. Урок 298. 00:05:25
    Importing Libraries and DataSet
  299. Урок 299. 00:05:31
    Data Analysis
  300. Урок 300. 00:05:46
    Feature Engineering 1
  301. Урок 301. 00:06:43
    Feature Engineering 2
  302. Урок 302. 00:03:54
    Feature Selection
  303. Урок 303. 00:06:20
    Model Building using ML
  304. Урок 304. 00:05:49
    Model Building and Prediction using Auto SK Learn
  305. Урок 305. 00:05:04
    Introduction to the Project.
  306. Урок 306. 00:03:10
    Importing Libraries and Data Set
  307. Урок 307. 00:07:45
    Data Analysis and splitting of Data
  308. Урок 308. 00:05:57
    Data Preprocessing
  309. Урок 309. 00:03:58
    Model Building and Prediction using LSTM model
  310. Урок 310. 00:05:25
    Model Building and prediction using ARIMA
  311. Урок 311. 00:06:07
    Introduction to the Project
  312. Урок 312. 00:04:05
    Importing Libraries and Data Set
  313. Урок 313. 00:11:49
    Data Analysis
  314. Урок 314. 00:07:34
    Feature Engineering
  315. Урок 315. 00:05:44
    Model Building and Prediction using ANN
  316. Урок 316. 00:11:12
    Model Building and Prediction using H2O
  317. Урок 317. 00:05:51
    Introduction to the Project
  318. Урок 318. 00:04:06
    Importing Libraries and Data sets
  319. Урок 319. 00:09:45
    Data Analysis
  320. Урок 320. 00:05:27
    Feature Engineering
  321. Урок 321. 00:09:35
    Model Building using ML- 1
  322. Урок 322. 00:05:32
    Model Building using ML- 2
  323. Урок 323. 00:06:23
    Model Building and Predictions using
  324. Урок 324. 00:11:16
    Deployment of Model using Flask API
  325. Урок 325. 00:03:18
    Introduction to the Project
  326. Урок 326. 00:05:47
    Importing Libraries and DataSet
  327. Урок 327. 00:05:55
    Data Analysis and Handling Missing Values- 1
  328. Урок 328. 00:06:49
    Data Analysis and Handling Missing Values- 2
  329. Урок 329. 00:08:39
    Feature Engineering
  330. Урок 330. 00:08:37
    Model Building using ML Algorithms
  331. Урок 331. 00:08:11
    Model Building and Prediction using PyCaret(AutoML)
  332. Урок 332. 00:06:38
    Using FLASK API
  333. Урок 333. 00:05:20
    Deploying model using Heroku
  334. Урок 334. 00:04:27
    Introduction to the project
  335. Урок 335. 00:04:57
    Importing Libraries and DataSet
  336. Урок 336. 00:10:01
    Data Analysis
  337. Урок 337. 00:06:18
    Feature Engineering
  338. Урок 338. 00:07:30
    Model Building using ML models
  339. Урок 339. 00:11:34
    Model Building and Prediction using EVAL ML(Auto ML)
  340. Урок 340. 00:05:03
    Introduction to the Project
  341. Урок 341. 00:05:58
    Importing Libraries and DataSet
  342. Урок 342. 00:07:11
    Data Analysis and Cleaning
  343. Урок 343. 00:08:45
    Data Preprocessing
  344. Урок 344. 00:08:51
    Model Building using ML Algorithms
  345. Урок 345. 00:05:37
    Model Building using TPOT Auto ML Library
  346. Урок 346. 00:03:33
    Model Building using TPOT Auto ML Library
  347. Урок 347. 00:07:01
    Introduction to the Project
  348. Урок 348. 00:04:43
    Importing libraries and DataSet
  349. Урок 349. 00:10:01
    Data Analysis and Cleaning
  350. Урок 350. 00:06:10
    Data Analysis and Cleaning
  351. Урок 351. 00:03:47
    Data Preprocessing
  352. Урок 352. 00:03:38
    Splitting the Data
  353. Урок 353. 00:05:39
    Model Building and Prediction using ML
  354. Урок 354. 00:08:41
    Model Building and Prediction using H2O Auto ML Library
  355. Урок 355. 00:02:48
    Importing Libraries and Data
  356. Урок 356. 00:03:14
    Importing Libraries and Data Set
  357. Урок 357. 00:09:51
    Data Analysis
  358. Урок 358. 00:05:43
    Feature Engineering
  359. Урок 359. 00:05:48
    Model Building and Prediction using Deep Learning
  360. Урок 360. 00:08:23
    Model Building and Prediction usin
  361. Урок 361. 00:03:17
    Introduction to the Project
  362. Урок 362. 00:02:55
    Importing Libraries and DataSet
  363. Урок 363. 00:06:21
    Data Analysis and Feature Engineering
  364. Урок 364. 00:07:44
    Data Preprocessing 1
  365. Урок 365. 00:04:35
    Data Preprocessing 2
  366. Урок 366. 00:05:19
    Model Building and Prediction using ML
  367. Урок 367. 00:06:47
    Model Building and Prediction using Au
  368. Урок 368. 00:04:20
    Introduction to the Project.
  369. Урок 369. 00:03:07
    Importing Libraries and DataSet
  370. Урок 370. 00:08:16
    Data Analysis and Preprocessing
  371. Урок 371. 00:05:25
    Data Analysis and Preprocessing 2
  372. Урок 372. 00:04:22
    Model Building using ML
  373. Урок 373. 00:08:22
    Model Building using Auto ML(PyCaret)
  374. Урок 374. 00:02:52
    Introduction to the Project
  375. Урок 375. 00:02:59
    Importing Libraries and DataSet
  376. Урок 376. 00:09:15
    Data Analysis and Preprocessing
  377. Урок 377. 00:03:52
    Data Analysis and Preprocessing
  378. Урок 378. 00:04:42
    Model Building uisng ML
  379. Урок 379. 00:08:54
    Model Building and Prediction using Eval Auto ML
  380. Урок 380. 00:03:05
    Introduction to the Project
  381. Урок 381. 00:03:14
    Importing Libraries and DataSet
  382. Урок 382. 00:08:17
    Data Analysis
  383. Урок 383. 00:03:20
    Feature Engineering
  384. Урок 384. 00:04:32
    Model Building using ML
  385. Урок 385. 00:08:25
    Model Building and Prediction using H2O Auto ML
  386. Урок 386. 00:05:12
    Introduction
  387. Урок 387. 00:09:58
    tkinter
  388. Урок 388. 00:08:12
    tkinter 2
  389. Урок 389. 00:04:11
    cvbasics
  390. Урок 390. 00:04:51
    Implementing Frames
  391. Урок 391. 00:11:26
    Implementing Frames 2
  392. Урок 392. 00:08:29
    Implementing Canvas
  393. Урок 393. 00:14:09
    Sub Menu projects course.
  394. Урок 394. 00:10:58
    Finishing Front End
  395. Урок 395. 00:11:04
    Image on canvas
  396. Урок 396. 00:28:31
    Applying Filters
  397. Урок 397. 00:17:30
    Cropping
  398. Урок 398. 00:09:57
    Saving Images
  399. Урок 399. 00:05:26
    introduction
  400. Урок 400. 00:20:35
    tkinter_basics
  401. Урок 401. 00:12:53
    sqlite_basics
  402. Урок 402. 00:19:53
    developing_frontend
  403. Урок 403. 00:21:15
    implementing-logic
  404. Урок 404. 00:19:33
    creating-database
  405. Урок 405. 00:25:49
    integrating_database_with_tkinter
  406. Урок 406. 00:08:49
    introduction
  407. Урок 407. 00:20:35
    tkinter-basics
  408. Урок 408. 00:12:53
    sqlite-basics
  409. Урок 409. 00:22:02
    front-end
  410. Урок 410. 00:43:44
    authentication-and-mana
  411. Урок 411. 00:39:11
    -managing-transaction
  412. Урок 412. 00:06:04
    managing-profile-picture
  413. Урок 413. 00:10:15
    introduction
  414. Урок 414. 00:20:07
    setting_up
  415. Урок 415. 00:11:06
    building_models
  416. Урок 416. 00:11:08
    building_models 2
  417. Урок 417. 00:08:44
    admin_and_querying
  418. Урок 418. 00:19:40
    registration_and_login
  419. Урок 419. 00:16:05
    implementing_profile
  420. Урок 420. 00:13:45
    implementing profile
  421. Урок 421. 00:11:41
    results_with_matplotlib
  422. Урок 422. 00:06:15
    Interactive_graph
  423. Урок 423. 00:15:13
    answering_assignments
  424. Урок 424. 00:27:19
    staff_assignment_view
  425. Урок 425. 00:08:10
    introduction
  426. Урок 426. 00:20:03
    setting_up
  427. Урок 427. 00:23:38
    implementing_models
  428. Урок 428. 00:29:46
    login_and_registration
  429. Урок 429. 00:15:55
    profiles
  430. Урок 430. 00:13:29
    news_home
  431. Урок 431. 00:13:54
    filtering_news
  432. Урок 432. 00:05:34
    efficient_code
  433. Урок 433. 00:12:56
    adding_news
  434. Урок 434. 00:09:07
    introduction
  435. Урок 435. 00:20:07
    setting_up
  436. Урок 436. 00:34:15
    homepage_and_api_requests
  437. Урок 437. 00:36:17
    login_and_registration
  438. Урок 438. 00:18:54
    handling_notes
  439. Урок 439. 00:13:13
    todos_and_homeworks
  440. Урок 440. 00:09:16
    conversion_page
  441. Урок 441. 00:07:02
    introduction
  442. Урок 442. 00:20:06
    setting_up
  443. Урок 443. 00:42:43
    login_and_registration
  444. Урок 444. 00:38:27
    todo_implementation
  445. Урок 445. 00:18:52
    profile_implementation
  446. Урок 446. 00:06:52
    introduction
  447. Урок 447. 00:20:06
    setting_up
  448. Урок 448. 00:36:17
    login_and_registration
  449. Урок 449. 00:06:38
    ER_diagram
  450. Урок 450. 00:50:18
    groups_implementation
  451. Урок 451. 00:09:19
    filtering
  452. Урок 452. 00:02:13
    Introduction to Project on Crop Guide
  453. Урок 453. 00:11:24
    Designing The Python GUI using Qt Designer.
  454. Урок 454. 00:06:28
    Enhancing the Qt5 GUI Functionality
  455. Урок 455. 00:09:50
    Creation and Implementation of Database
  456. Урок 456. 00:05:45
    Connecting Database with PyQt5 Application
  457. Урок 457. 00:12:53
    Enhancing the Qt5 GUI Functionality and Application Logic
  458. Урок 458. 00:06:28
    Project Conclusion and Recall
  459. Урок 459. 00:04:07
    Introduction to Project on Password Manager
  460. Урок 460. 00:10:58
    Designing The Python GUI using Qt Designer
  461. Урок 461. 00:05:07
    Enhancing the Qt5 GUI Functionality
  462. Урок 462. 00:08:13
    Creation and Implementation of Database
  463. Урок 463. 00:10:27
    Enhancing the Qt5 GUI Functionality
  464. Урок 464. 00:10:25
    Enhancing the Qt5 GUI Functionality
  465. Урок 465. 00:12:50
    Project Conclusion and Overview
  466. Урок 466. 00:02:19
    Introduction to Project on News App
  467. Урок 467. 00:06:21
    Django Starting and Setup
  468. Урок 468. 00:07:31
    Demonstration of Django MVT Architecture
  469. Урок 469. 00:10:24
    Coding the Application Logic
  470. Урок 470. 00:10:15
    Updating the Application Logic for templates and views.py
  471. Урок 471. 00:13:29
    Recall and Project Deployment Part-1
  472. Урок 472. 00:10:42
    Project Deployment Part-2
  473. Урок 473. 00:01:27
    Introduction To The Project On Guide
  474. Урок 474. 00:11:42
    Getting Started With Django
  475. Урок 475. 00:17:42
    Application Logic
  476. Урок 476. 00:10:07
    Updating Templates and Views
  477. Урок 477. 00:08:01
    Deploying Application
  478. Урок 478. 00:01:53
    Introduction to Project on The Chef
  479. Урок 479. 00:10:22
    Get Started with Django
  480. Урок 480. 00:11:46
    Application Logic Part-1
  481. Урок 481. 00:09:15
    Application Logic Part-2
  482. Урок 482. 00:07:38
    Application Logic Part-3
  483. Урок 483. 00:10:13
    Templates
  484. Урок 484. 00:10:03
    Updating Vews
  485. Урок 485. 00:07:51
    Deployment Of The Application
  486. Урок 486. 00:02:04
    Introduction to The Syllogism_Rules of Inference Solver
  487. Урок 487. 00:12:02
    Get Started with Django and Explanation Of The Project
  488. Урок 488. 00:11:47
    Application Logic Part-1
  489. Урок 489. 00:08:23
    Application Logic
  490. Урок 490. 00:09:54
    Updating Views and Templates
  491. Урок 491. 00:07:26
    Deployment of Application
  492. Урок 492. 00:01:53
    Introduction
  493. Урок 493. 00:05:48
    Getting Started With Django and MVT Architecture
  494. Урок 494. 00:13:12
    Rendering Sample Text and Images Part-1
  495. Урок 495. 00:08:07
    Rendering Sample Text and Images Part-2
  496. Урок 496. 00:15:57
    Application Logic Part-1
  497. Урок 497. 00:06:43
    Application Logic Part-2
  498. Урок 498. 00:07:45
    Updating Templates and Views
  499. Урок 499. 00:02:04
    Introduction
  500. Урок 500. 00:05:05
    Problem Statement and Algorithm
  501. Урок 501. 00:12:28
    Application Logic Part-1
  502. Урок 502. 00:13:47
    Application Logic Part-2
  503. Урок 503. 00:13:36
    Application Logic Part-3
  504. Урок 504. 00:04:55
    Integration Of Gmail In Python
  505. Урок 505. 00:03:55
    Integration Of Gmail In Python Part-2
  506. Урок 506. 00:07:21
    Overview of the Game
  507. Урок 507. 00:06:33
    Building the Algorithms
  508. Урок 508. 00:12:15
    Designing the board
  509. Урок 509. 00:18:56
    Game Outcome
  510. Урок 510. 00:16:51
    Player Mark
  511. Урок 511. 00:23:27
    Computer AI Move
  512. Урок 512. 00:18:34
    Main logic of the game
  513. Урок 513. 00:03:14
    Final
  514. Урок 514. 00:03:22
    Introduction to the project
  515. Урок 515. 00:15:43
    Starting with Django
  516. Урок 516. 00:12:43
    Working with Apps and URLs
  517. Урок 517. 00:15:45
    Designing website.
  518. Урок 518. 00:15:56
    Generating password
  519. Урок 519. 00:07:12
    Generating password contd.
  520. Урок 520. 00:12:11
    Bootstrap and CSS Designing
  521. Урок 521. 00:04:05
    Introduction to the project
  522. Урок 522. 00:19:44
    Starting project
  523. Урок 523. 00:09:40
    Starting project contd
  524. Урок 524. 00:19:55
    Working with admin
  525. Урок 525. 00:23:38
    Building homepage
  526. Урок 526. 00:16:11
    Building blog application
  527. Урок 527. 00:09:32
    Building blog application continued
  528. Урок 528. 00:13:53
    Working with database and static-Files
  529. Урок 529. 00:12:32
    Adding details in blog
  530. Урок 530. 00:21:31
    Adding details in blog
  531. Урок 531. 00:13:45
    Adding Base templates
  532. Урок 532. 00:03:01
    Final project
  533. Урок 533. 00:05:21
    Introduction to the project
  534. Урок 534. 00:18:36
    Starting project.
  535. Урок 535. 00:10:20
    Starting application
  536. Урок 536. 00:17:57
    Building website
  537. Урок 537. 00:09:32
    Adding Logout user option
  538. Урок 538. 00:09:45
    Adding Login user option
  539. Урок 539. 00:15:19
    Creating Todo option
  540. Урок 540. 00:13:11
    Create todo option for user
  541. Урок 541. 00:12:42
    Displaying todo list
  542. Урок 542. 00:13:11
    Updating todo list
  543. Урок 543. 00:15:00
    Mark complete and delete todo
  544. Урок 544. 00:06:02
    Designing website
  545. Урок 545. 00:03:51
    Introduction to the project
  546. Урок 546. 00:12:36
    Getting data with API
  547. Урок 547. 00:19:02
    Fetching data with python
  548. Урок 548. 00:16:30
    Creating Planner Functions.
  549. Урок 549. 00:16:59
    Working with tkinter
  550. Урок 550. 00:19:08
    Designing Gui
  551. Урок 551. 00:15:56
    Update and Color Feature
  552. Урок 552. 00:05:24
    Introduction to the project
  553. Урок 553. 00:06:01
    Getting Access Keys.
  554. Урок 554. 00:05:05
    Adding authentication functions
  555. Урок 555. 00:09:38
    Fetching tweets
  556. Урок 556. 00:09:35
    Storing data
  557. Урок 557. 00:06:37
    Handling tweet id
  558. Урок 558. 00:14:06
    tweet reply function
  559. Урок 559. 00:12:34
    Automating bot
  560. Урок 560. 00:12:43
    Deployment phase
  561. Урок 561. 00:02:46
    Introduction to the project
  562. Урок 562. 00:12:31
    Working with data
  563. Урок 563. 00:11:44
    File handling concept
  564. Урок 564. 00:07:57
    Building dictionary application
  565. Урок 565. 00:14:42
    Building dictionary application continued
  566. Урок 566. 00:18:30
    Making close match function
  567. Урок 567. 00:19:47
    Adding gui features to dictionary
  568. Урок 568. 00:17:11
    Final project
  569. Урок 569. 00:05:04
    Introduction to the game
  570. Урок 570. 00:12:58
    Setting up game screen
  571. Урок 571. 00:16:40
    Building requirements
  572. Урок 572. 00:21:04
    Building functions
  573. Урок 573. 00:14:02
    Building functions continued
  574. Урок 574. 00:11:37
    Final commands
  575. Урок 575. 00:06:09
    Introduction to the project
  576. Урок 576. 00:23:06
    Designing application
  577. Урок 577. 00:12:03
    Designing application continued
  578. Урок 578. 00:16:39
    Building database
  579. Урок 579. 00:08:11
    Building database functions
  580. Урок 580. 00:22:07
    Connecting backend to frontend
  581. Урок 581. 00:17:14
    Completing project
  582. Урок 582. 00:03:21
    Introduction to the project.
  583. Урок 583. 00:12:26
    Designing pet
  584. Урок 584. 00:15:02
    Designing pet continued
  585. Урок 585. 00:13:56
    Adding blinking functions
  586. Урок 586. 00:13:37
    CheekyFace and tongue toggle of pet
  587. Урок 587. 00:16:27
    Happy, sad and normal states of pet
  588. Урок 588. 00:08:15
    Main function
  589. Урок 589. 00:04:23
    Introduction to the project
  590. Урок 590. 00:15:56
    Basics of turtle
  591. Урок 591. 00:16:21
    Starting Project
  592. Урок 592. 00:14:27
    Building functions
  593. Урок 593. 00:10:51
    Building function continued
  594. Урок 594. 00:16:10
    Game start function
  595. Урок 595. 00:13:53
    Adding command keys
  596. Урок 596. 00:04:02
    Introduction to the project
  597. Урок 597. 00:06:05
    Algorithm for the game
  598. Урок 598. 00:03:50
    Building Interface
  599. Урок 599. 00:05:52
    Creating words list
  600. Урок 600. 00:05:36
    Building main logic
  601. Урок 601. 00:11:38
    Building main logic continued
  602. Урок 602. 00:09:53
    Working with figures
  603. Урок 603. 00:05:37
    Final project
  604. Урок 604. 00:04:07
    Introduction to the project
  605. Урок 605. 00:05:50
    Designing the window
  606. Урок 606. 00:05:42
    Designing the window continued
  607. Урок 607. 00:06:46
    Adding functions
  608. Урок 608. 00:07:10
    Building operations list
  609. Урок 609. 00:10:35
    Building main function
  610. Урок 610. 00:04:06
    Final project
  611. Урок 611. 00:06:50
    Introduction to the project
  612. Урок 612. 00:18:18
    Designing application
  613. Урок 613. 00:15:52
    Building frames for window
  614. Урок 614. 00:07:56
    Decode function
  615. Урок 615. 00:04:20
    Encode function
  616. Урок 616. 00:05:32
    Final project