首页 磁力链接怎么用

[GigaCourse.Com] Udemy - Data Science Mega-Course #Build {60-Projects In 60-Days}

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2022-8-15 00:57 2024-11-13 13:35 2929 24.68 GB 367
磁力链接
magnet:?xt=urn:btih:a80de867dfc283a70fa727580b3877f1a760d667
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOmE4MGRlODY3ZGZjMjgzYTcwZmE3Mjc1ODBiMzg3N2YxYTc2MGQ2NjdaWg==
二维码链接
[GigaCourse.Com] Udemy - Data Science Mega-Course #Build {60-Projects In 60-Days}的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接，内容跟本站无关！
相关链接

GigaCourse Com Udemy - Data Science Mega-Course #Build {60-Projects In 60-Days}

文件列表
  1. 1. Introduction To The Course/1. Introduction To The Course.mp436.37MB
  2. 1. Introduction To The Course/2. Udemy Feedback.mp42.05MB
  3. 10. Project-9 Bird Species Prediction Flask App/1. Introduction to Bird Species Prediction.mp421.46MB
  4. 10. Project-9 Bird Species Prediction Flask App/2. Importing Libraries And Data.mp457.49MB
  5. 10. Project-9 Bird Species Prediction Flask App/3. Dataprocessing.mp430.9MB
  6. 10. Project-9 Bird Species Prediction Flask App/4. Creating ML Model.mp494.28MB
  7. 10. Project-9 Bird Species Prediction Flask App/5. Creating A Flask App.mp471.98MB
  8. 11. Project-10 Intel Image Classification Flask App/1. Introduction.mp425.73MB
  9. 11. Project-10 Intel Image Classification Flask App/2. Importing and processing data.mp465.8MB
  10. 11. Project-10 Intel Image Classification Flask App/3. Creating a Model.mp488.38MB
  11. 11. Project-10 Intel Image Classification Flask App/4. Creating a Flask App.mp459.44MB
  12. 12. Project-11 Sentiment Analysis Django App -Deploy On Heroku/1. Introduction to Sentiment Analysis.mp49.16MB
  13. 12. Project-11 Sentiment Analysis Django App -Deploy On Heroku/2. Project Notebook Google Colab.mp4140.84MB
  14. 12. Project-11 Sentiment Analysis Django App -Deploy On Heroku/3. Building Django App.mp471.92MB
  15. 12. Project-11 Sentiment Analysis Django App -Deploy On Heroku/4. Deploying App in heroku.mp479.15MB
  16. 13. Project-12 Attrition Rate Django Application/1. Introduction.mp49.24MB
  17. 13. Project-12 Attrition Rate Django Application/2. Creating Colab Notebook.mp4213.81MB
  18. 13. Project-12 Attrition Rate Django Application/3. Creating Django App.mp485.06MB
  19. 13. Project-12 Attrition Rate Django Application/4. Deploying App in heroku.mp460.52MB
  20. 14. Project-13 Find Legendary Pokemon Django App -Deploy On Heroku/1. Introduction.mp410.3MB
  21. 14. Project-13 Find Legendary Pokemon Django App -Deploy On Heroku/2. Creating Colab Notebook.mp4177.21MB
  22. 14. Project-13 Find Legendary Pokemon Django App -Deploy On Heroku/3. Creating DJango App.mp4108.22MB
  23. 14. Project-13 Find Legendary Pokemon Django App -Deploy On Heroku/4. Deploying App in heroku.mp462.21MB
  24. 15. Project-14 Face Detection Streamlit App/1. Introduction.mp411.39MB
  25. 15. Project-14 Face Detection Streamlit App/2. Creating The Face App.mp4103.72MB
  26. 15. Project-14 Face Detection Streamlit App/3. Creating The face app.mp465.66MB
  27. 15. Project-14 Face Detection Streamlit App/4. Creating The Face app.mp494.24MB
  28. 16. Project-15 Cats Vs Dogs Classification Flask App/1. Introduction.mp413.17MB
  29. 16. Project-15 Cats Vs Dogs Classification Flask App/2. Creating Project Notebook.mp4244.27MB
  30. 16. Project-15 Cats Vs Dogs Classification Flask App/3. Building Model.mp474.7MB
  31. 16. Project-15 Cats Vs Dogs Classification Flask App/4. Building Flask App.mp451.89MB
  32. 16. Project-15 Cats Vs Dogs Classification Flask App/5. App Deployment.mp465.83MB
  33. 17. Project-16 Customer Revenue Prediction App -Deploy On Heroku/1. Introduction.mp413.29MB
  34. 17. Project-16 Customer Revenue Prediction App -Deploy On Heroku/2. Colab Notebook.mp4201.8MB
  35. 17. Project-16 Customer Revenue Prediction App -Deploy On Heroku/3. Creating Flask App.mp4117.98MB
  36. 17. Project-16 Customer Revenue Prediction App -Deploy On Heroku/4. Deploying Flask App.mp466.48MB
  37. 18. Project-17 Gender From Voice Prediction App -Deploy On Heroku/1. Introduction.mp410.54MB
  38. 18. Project-17 Gender From Voice Prediction App -Deploy On Heroku/2. Creating Project Notebook.mp4242.96MB
  39. 18. Project-17 Gender From Voice Prediction App -Deploy On Heroku/3. Creating Project App Django.mp4106.66MB
  40. 18. Project-17 Gender From Voice Prediction App -Deploy On Heroku/4. Deploying The App.mp461.12MB
  41. 19. Project-18 Restaurant Recommendation System/1. Introduction.mp421.27MB
  42. 19. Project-18 Restaurant Recommendation System/2. Creating Colab Notebook.mp4116.66MB
  43. 19. Project-18 Restaurant Recommendation System/3. Exploratory Data Analysis.mp485.43MB
  44. 19. Project-18 Restaurant Recommendation System/4. Data Analysis2.mp4242.88MB
  45. 2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/1. Introduction To Pan Card Tempering Detector.mp416.19MB
  46. 2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/2. Loading libraries and dataset.mp431.49MB
  47. 2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/3. Creating the pancard detector with opencv.mp4106.85MB
  48. 2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/4. Creating the Flask App.mp414.93MB
  49. 2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/5. Creating Important functions.mp429.08MB
  50. 2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/6. Deploy the app in heroku.mp439.09MB
  51. 2. Project-1 Pan Card Tempering Detector App -Deploy On Heroku/7. Testing the deployed pan card detector.mp45.71MB
  52. 20. Project-19 Happiness Ranking Django App -Deploy On Heroku/1. Introduction.mp416.33MB
  53. 20. Project-19 Happiness Ranking Django App -Deploy On Heroku/2. Project Notebook.mp4240.46MB
  54. 20. Project-19 Happiness Ranking Django App -Deploy On Heroku/3. Creating Django App.mp4138.34MB
  55. 20. Project-19 Happiness Ranking Django App -Deploy On Heroku/4. Deploying Django App.mp459.41MB
  56. 21. Project-20 Forest Fire Prediction Django App -Deploy On Heroku/1. Introduction.mp419.42MB
  57. 21. Project-20 Forest Fire Prediction Django App -Deploy On Heroku/2. Project Notebook.mp4207.17MB
  58. 21. Project-20 Forest Fire Prediction Django App -Deploy On Heroku/3. Project Notebook Part2.mp476.41MB
  59. 21. Project-20 Forest Fire Prediction Django App -Deploy On Heroku/4. Creating Django App.mp4117.15MB
  60. 21. Project-20 Forest Fire Prediction Django App -Deploy On Heroku/5. Deploying Django App.mp457.61MB
  61. 22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/1. Introduction.mp411.98MB
  62. 22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/2. Model building part1.mp462.54MB
  63. 22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/3. Model building part2.mp4100.88MB
  64. 22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/4. Model building part3.mp4110.79MB
  65. 22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/5. Django Application part1.mp476.62MB
  66. 22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/6. Django Application part2.mp466.74MB
  67. 22. Project-21 Build Car Prices Prediction App -Deploy On Heroku/7. Deploying on Heroku.mp453.56MB
  68. 23. Project-22 Build Affair Count Django App -Deploy On Heroku/1. Introduction.mp414.92MB
  69. 23. Project-22 Build Affair Count Django App -Deploy On Heroku/2. Machine Learning model building.mp495.6MB
  70. 23. Project-22 Build Affair Count Django App -Deploy On Heroku/3. Feature Selection.mp4103.38MB
  71. 23. Project-22 Build Affair Count Django App -Deploy On Heroku/4. Model Building.mp438.47MB
  72. 23. Project-22 Build Affair Count Django App -Deploy On Heroku/5. Django Application.mp443.04MB
  73. 23. Project-22 Build Affair Count Django App -Deploy On Heroku/6. Django Application building.mp4111.43MB
  74. 24. Project-23 Build Shrooming Predictions App -Deploy On Heroku/1. Introduction.mp414.21MB
  75. 24. Project-23 Build Shrooming Predictions App -Deploy On Heroku/2. Importing libraries.mp4129.61MB
  76. 24. Project-23 Build Shrooming Predictions App -Deploy On Heroku/3. Building the model.mp498.62MB
  77. 24. Project-23 Build Shrooming Predictions App -Deploy On Heroku/4. Building Django Application.mp4105.94MB
  78. 24. Project-23 Build Shrooming Predictions App -Deploy On Heroku/5. Deploying on Heroku.mp458.85MB
  79. 25. Project-24 Google Play App Rating prediction With Deployment On Heroku/1. Introduction.mp412.14MB
  80. 25. Project-24 Google Play App Rating prediction With Deployment On Heroku/2. Introduction to libraries and dataset.mp4108.77MB
  81. 25. Project-24 Google Play App Rating prediction With Deployment On Heroku/3. Preprocessing the data.mp474.92MB
  82. 25. Project-24 Google Play App Rating prediction With Deployment On Heroku/4. building the model.mp450.91MB
  83. 25. Project-24 Google Play App Rating prediction With Deployment On Heroku/5. Django Application.mp494.88MB
  84. 25. Project-24 Google Play App Rating prediction With Deployment On Heroku/6. Deploying to Heroku.mp448.15MB
  85. 26. Project-25 Build Bank Customers Predictions Django App -Deploy On Heroku/1. Introduction.mp415.23MB
  86. 26. Project-25 Build Bank Customers Predictions Django App -Deploy On Heroku/2. Importing Libraries and understanding data.mp4107.5MB
  87. 26. Project-25 Build Bank Customers Predictions Django App -Deploy On Heroku/3. Building and training the model.mp4101.22MB
  88. 26. Project-25 Build Bank Customers Predictions Django App -Deploy On Heroku/4. Django Application.mp497.97MB
  89. 26. Project-25 Build Bank Customers Predictions Django App -Deploy On Heroku/5. Deploying on heroku.mp451.48MB
  90. 27. Project-26 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/1. Introduction.mp415.88MB
  91. 27. Project-26 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/2. Understanding the data.mp4111.67MB
  92. 27. Project-26 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/3. Outliers and Model.mp4154.63MB
  93. 27. Project-26 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/4. Building Django Application.mp4103.1MB
  94. 27. Project-26 Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku/5. Deploying to Heroku.mp454.33MB
  95. 28. Project-27 Build Medical Cost Predictions Django App -Deploy On Heroku/1. Introduction.mp412.08MB
  96. 28. Project-27 Build Medical Cost Predictions Django App -Deploy On Heroku/2. Introduction and handling the data.mp4116.26MB
  97. 28. Project-27 Build Medical Cost Predictions Django App -Deploy On Heroku/3. Building the model.mp445.78MB
  98. 28. Project-27 Build Medical Cost Predictions Django App -Deploy On Heroku/4. Django Application.mp491.57MB
  99. 28. Project-27 Build Medical Cost Predictions Django App -Deploy On Heroku/5. Heroku Deployment.mp445.64MB
  100. 29. Project-28 Phishing Webpages Classification Django App -Deploy On Heroku/1. Introduction.mp414.96MB
  101. 29. Project-28 Phishing Webpages Classification Django App -Deploy On Heroku/2. Understanding the data.mp4112.46MB
  102. 29. Project-28 Phishing Webpages Classification Django App -Deploy On Heroku/3. Feature Selection and model building.mp4109.9MB
  103. 29. Project-28 Phishing Webpages Classification Django App -Deploy On Heroku/4. Django Application.mp4107.34MB
  104. 29. Project-28 Phishing Webpages Classification Django App -Deploy On Heroku/5. Deploying on Heroku.mp459.22MB
  105. 3. Project-2 Dog breed prediction Flask App/1. Introduction to dog breed prediction.mp415.91MB
  106. 3. Project-2 Dog breed prediction Flask App/2. Importing the data and libraries.mp456.78MB
  107. 3. Project-2 Dog breed prediction Flask App/3. Data Preprocessing.mp429.96MB
  108. 3. Project-2 Dog breed prediction Flask App/4. Build and Train Model.mp473.25MB
  109. 3. Project-2 Dog breed prediction Flask App/5. Testing the model.mp418.77MB
  110. 3. Project-2 Dog breed prediction Flask App/6. Creating the flask App.mp428.11MB
  111. 3. Project-2 Dog breed prediction Flask App/7. Running the app in system.mp417.27MB
  112. 30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/1. Introduction.mp422.51MB
  113. 30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/2. Understanding the data.mp475.08MB
  114. 30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/3. Cleaning the data.mp4109.32MB
  115. 30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/4. Building the model.mp483.68MB
  116. 30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/5. Implementing Django Application.mp484.67MB
  117. 30. Project-29 Clothing Fit-Size predictions Django App -Deploy On Heroku/6. Deploying on heroku.mp452.69MB
  118. 31. Project-30 Build Similarity In-Text Django App -Deploy On Heroku/1. Introduction.mp430.62MB
  119. 31. Project-30 Build Similarity In-Text Django App -Deploy On Heroku/2. Cleaning the data.mp490.94MB
  120. 31. Project-30 Build Similarity In-Text Django App -Deploy On Heroku/3. Building the model.mp4130.71MB
  121. 31. Project-30 Build Similarity In-Text Django App -Deploy On Heroku/4. Implementing Django web application.mp4105.25MB
  122. 32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/1. Introduction to the Project.mp423.77MB
  123. 32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/2. Importing Libraries and Datasets.mp415.7MB
  124. 32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/3. Data Analysis.mp456.07MB
  125. 32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/4. Model Building Part 1.mp446.72MB
  126. 32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/5. Model Building Part 2.mp433.65MB
  127. 32. Project-31 Heart Attack Risk Prediction Using Eval ML (Auto ML)/6. Model building and Predictions using Auto ML.mp461.39MB
  128. 33. Project-32 Credit Card Fraud Detection Using Pycaret (Auto ML)/1. Introduction to the Project.mp429.55MB
  129. 33. Project-32 Credit Card Fraud Detection Using Pycaret (Auto ML)/2. Importing Libraries and DataSet.mp427.39MB
  130. 33. Project-32 Credit Card Fraud Detection Using Pycaret (Auto ML)/3. Data Analysis.mp443.39MB
  131. 33. Project-32 Credit Card Fraud Detection Using Pycaret (Auto ML)/4. Model Building using ML.mp458.3MB
  132. 33. Project-32 Credit Card Fraud Detection Using Pycaret (Auto ML)/5. Model Building and Prediction using PyCaret (AutoML).mp497.02MB
  133. 34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/1. Introduction to the Project.mp421.9MB
  134. 34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/2. Importing Libraries and DataSet.mp445.14MB
  135. 34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/3. Data Analysis.mp431.67MB
  136. 34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/4. Feature Engineering 1.mp443.62MB
  137. 34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/5. Feature Engineering 2.mp450.66MB
  138. 34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/6. Feature Selection.mp425.01MB
  139. 34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/7. Model Building using ML.mp438.48MB
  140. 34. Project-33 Flight Fare Prediction Using Auto SK Learn (Auto ML)/8. Model Building and Prediction using Auto SK Learn.mp441.9MB
  141. 35. Project-34 Petrol Price Forecasting Using Auto Keras/1. Introduction to the Project.mp430.63MB
  142. 35. Project-34 Petrol Price Forecasting Using Auto Keras/2. Importing Libraries and Data Set.mp420.01MB
  143. 35. Project-34 Petrol Price Forecasting Using Auto Keras/3. Data Analysis and splitting of Data.mp439.95MB
  144. 35. Project-34 Petrol Price Forecasting Using Auto Keras/4. Data Preprocessing.mp436.82MB
  145. 35. Project-34 Petrol Price Forecasting Using Auto Keras/5. Model Building and Prediction using LSTM model.mp432.58MB
  146. 35. Project-34 Petrol Price Forecasting Using Auto Keras/6. Model Building and prediction using ARIMA and Auto Keras(Auto ML).mp437.52MB
  147. 36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/1. Introduction to the Project.mp433.03MB
  148. 36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/2. Importing Libraries and DataSet.mp425.05MB
  149. 36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/3. Data Analysis.mp465.24MB
  150. 36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/4. Feature Engineering.mp447.37MB
  151. 36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/5. Model Building and Prediction using ANN.mp434.14MB
  152. 36. Project-35 Bank Customer Churn Prediction Using H2O Auto ML/6. Model Building and Prediction using H2O Auto ML(Auto ML).mp491.93MB
  153. 37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/1. Introduction to the Project.mp435.38MB
  154. 37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/2. Importing Libraries and Dataset.mp431.02MB
  155. 37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/3. Data Analysis.mp467.75MB
  156. 37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/4. Feature Engineering.mp430.65MB
  157. 37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/5. Model Building using ML- 1.mp469.08MB
  158. 37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/6. Model Building using ML- 2.mp445.07MB
  159. 37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/7. Model Building and Predictions using TPOT Library (Auto ML).mp443.38MB
  160. 37. Project-36 Air Quality Index Predictor Using TPOT With Deployment (Auto ML)/8. Deployment of Model using Flask API.mp463.35MB
  161. 38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/1. Introduction to the Project.mp421.44MB
  162. 38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/2. Importing Libraries and DataSet.mp445.65MB
  163. 38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/3. Data Analysis and Handling Missing Values- 1.mp438.33MB
  164. 38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/4. Data Analysis and Handling Missing Values- 2.mp450.07MB
  165. 38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/5. Feature Engineering.mp470.45MB
  166. 38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/6. Model Building using ML Algorithms.mp452.84MB
  167. 38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/7. Model Building and Prediction using PyCaret (AutoML).mp468.98MB
  168. 38. Project-37 Rain Prediction Using ML models $ PyCaret With Deployment (Auto ML)/8. Using FLASK API.mp450.76MB
  169. 39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/1. Introduction to the project.mp426MB
  170. 39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/2. Importing Libraries and DataSet.mp435.09MB
  171. 39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/3. Data Analysis.mp467.32MB
  172. 39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/4. Feature Engineering.mp453.72MB
  173. 39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/5. Model Building.mp443.41MB
  174. 39. Project-38 Pizza Price Prediction Using ML And EVALML(Auto ML)/6. Model Building and Prediction using EVAL ML(Auto ML).mp497.73MB
  175. 4. Project-3 Image Watermarking App -Deploy On Heroku/1. Introduction.mp415.12MB
  176. 4. Project-3 Image Watermarking App -Deploy On Heroku/2. Importing libraries and logo.mp425.14MB
  177. 4. Project-3 Image Watermarking App -Deploy On Heroku/3. Create text and image watermark.mp475.94MB
  178. 4. Project-3 Image Watermarking App -Deploy On Heroku/4. Creating the app.mp463.33MB
  179. 4. Project-3 Image Watermarking App -Deploy On Heroku/5. Deploying the app in heroku.mp429.99MB
  180. 40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/1. Introduction to the Project.mp434.45MB
  181. 40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/2. Importing Libraries and DataSet.mp440.78MB
  182. 40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/3. Data Analysis and Cleaning.mp451.98MB
  183. 40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/4. Data Preprocessing.mp456.63MB
  184. 40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/5. Model Building using ML Algorithms.mp459.15MB
  185. 40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/6. Model Building using TPOT Auto ML Library-1.mp444.34MB
  186. 40. Project-39 IPL Cricket Score Prediction Using TPOT (Auto ML)/7. Model Building using TPOT Auto ML Library-2.mp426.93MB
  187. 41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/1. Introduction to the Project.mp443.36MB
  188. 41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/2. Importing libraries and DataSet.mp433.93MB
  189. 41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/3. Data Analysis and Cleaning -1.mp468.58MB
  190. 41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/4. Data Analysis and Cleaning -2.mp433.7MB
  191. 41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/5. Data Preprocessing.mp431.15MB
  192. 41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/6. Splitting the Data.mp429.41MB
  193. 41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/7. Model Building and Prediction using ML.mp429.52MB
  194. 41. Project-40 Predicting Bike Rentals Count Using ML And H2O Auto ML/8. Model Building and Prediction using H2O Auto ML Library.mp473.36MB
  195. 42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/1. Introduction to the Project.mp417.84MB
  196. 42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/2. Importing Libraries and DataSet.mp420.94MB
  197. 42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/3. Data Analysis.mp472.38MB
  198. 42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/4. Feature Engineering.mp436.41MB
  199. 42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/5. Model Building and Prediction using Deep Learning.mp446.72MB
  200. 42. Project-41 Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)/6. Model Building and Prediction using Auto Keras(Auto ML).mp470.31MB
  201. 43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/1. Introduction to the Project.mp417.38MB
  202. 43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/2. Importing Libraries and DataSet.mp419.63MB
  203. 43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/3. Data Analysis and Feature Engineering.mp444.33MB
  204. 43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/4. Data Preprocessing 1.mp452.99MB
  205. 43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/5. Data Preprocessing 2.mp430.35MB
  206. 43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/6. Model Building and Prediction using ML.mp434.55MB
  207. 43. Project-42 Bangalore House Price Prediction Using Auto SK Learn (Auto ML)/7. Model Building and Prediction using Auto SK Learn(Auto ML).mp456.34MB
  208. 44. Project-43 Hospital Mortality Prediction Using PyCaret (Auto ML)/1. Introduction to the Project.mp424.26MB
  209. 44. Project-43 Hospital Mortality Prediction Using PyCaret (Auto ML)/2. Importing Libraries and DataSet.mp424.42MB
  210. 44. Project-43 Hospital Mortality Prediction Using PyCaret (Auto ML)/3. Model Building using ML.mp424.43MB
  211. 44. Project-43 Hospital Mortality Prediction Using PyCaret (Auto ML)/4. Model Building using Auto ML(PyCaret).mp482.68MB
  212. 45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/1. Introduction to the Project.mp415.36MB
  213. 45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/2. Importing Libraries and DataSet.mp419.54MB
  214. 45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/3. Data Analysis and Preprocessing 1.mp475.35MB
  215. 45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/4. Data Analysis and Preprocessing 2.mp429.02MB
  216. 45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/5. Model Building uisng ML.mp431.92MB
  217. 45. Project-44 Employee Evaluation For Promotion Using ML And Eval Auto ML/6. Model Building and Prediction using Eval Auto ML.mp470.77MB
  218. 46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/1. Introduction to the Project.mp420.08MB
  219. 46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/2. Importing Libraries and DataSet.mp422.69MB
  220. 46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/3. Data Analysis.mp464.98MB
  221. 46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/4. Feature Engineering.mp423.76MB
  222. 46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/5. Model Building using ML.mp431.36MB
  223. 46. Project-45 Drinking Water Potability Prediction Using ML And H2O Auto ML/6. Model Building and Prediction using H2O Auto ML.mp473.75MB
  224. 47. Project-46 Black Friday Sale Project/1. Importing libraries and data.mp436.44MB
  225. 47. Project-46 Black Friday Sale Project/2. Understanding data.mp437.54MB
  226. 47. Project-46 Black Friday Sale Project/3. Data visualization and data preprocessing.mp4108.91MB
  227. 47. Project-46 Black Friday Sale Project/4. Model building part1.mp449.29MB
  228. 47. Project-46 Black Friday Sale Project/5. Model building part2.mp458.83MB
  229. 48. Project-47 Sentiment Analysis Project/1. Importing libraries and data.mp465.17MB
  230. 48. Project-47 Sentiment Analysis Project/2. Text normalization.mp474.88MB
  231. 48. Project-47 Sentiment Analysis Project/3. Lemmatization.mp445.35MB
  232. 48. Project-47 Sentiment Analysis Project/4. Data preprocessing.mp4103.58MB
  233. 48. Project-47 Sentiment Analysis Project/5. Model Building.mp487.13MB
  234. 49. Project-48 Parkinson’s Disease Prediction Project/1. Importing libraries and data.mp439.74MB
  235. 49. Project-48 Parkinson’s Disease Prediction Project/2. Understanding the data.mp473.37MB
  236. 49. Project-48 Parkinson’s Disease Prediction Project/3. data visualization.mp454.97MB
  237. 49. Project-48 Parkinson’s Disease Prediction Project/4. Model building part 1.mp474.58MB
  238. 49. Project-48 Parkinson’s Disease Prediction Project/5. Model building part 2.mp4104.89MB
  239. 5. Project-4 Traffic sign classification/1. Introduction to traffic sign classification.mp430.83MB
  240. 5. Project-4 Traffic sign classification/2. Importing the data and libraries.mp457.46MB
  241. 5. Project-4 Traffic sign classification/3. Image processing.mp444.98MB
  242. 5. Project-4 Traffic sign classification/4. Creating and testing the model.mp462.08MB
  243. 5. Project-4 Traffic sign classification/5. Creating model for test set.mp447.41MB
  244. 50. Project-49 Fake News Classifier Project/1. Importing libraries and data.mp432.13MB
  245. 50. Project-49 Fake News Classifier Project/2. data preprocessing.mp440.75MB
  246. 50. Project-49 Fake News Classifier Project/3. Text cleaning.mp461MB
  247. 50. Project-49 Fake News Classifier Project/4. Vectorizer.mp418.56MB
  248. 50. Project-49 Fake News Classifier Project/5. Model Building.mp4101.91MB
  249. 51. Project-50 Toxic Comment Classifier Project/1. Importing libraries and data.mp447.83MB
  250. 51. Project-50 Toxic Comment Classifier Project/2. Understanding data.mp431.92MB
  251. 51. Project-50 Toxic Comment Classifier Project/3. data visualization and preprocessing.mp480.54MB
  252. 51. Project-50 Toxic Comment Classifier Project/4. Balancing the target column.mp451.51MB
  253. 51. Project-50 Toxic Comment Classifier Project/5. Model building.mp475.52MB
  254. 51. Project-50 Toxic Comment Classifier Project/6. Model evaluation.mp444.55MB
  255. 52. Project-51 Language Translator App Using IBM Cloud Service -Deploy On Heroku/1. Introduction.mp427.08MB
  256. 52. Project-51 Language Translator App Using IBM Cloud Service -Deploy On Heroku/2. Setting Service.mp421.58MB
  257. 52. Project-51 Language Translator App Using IBM Cloud Service -Deploy On Heroku/3. Integrating Service.mp496.57MB
  258. 52. Project-51 Language Translator App Using IBM Cloud Service -Deploy On Heroku/4. Coding the UI.mp4127.83MB
  259. 52. Project-51 Language Translator App Using IBM Cloud Service -Deploy On Heroku/5. Deployment on Heroku.mp4105.31MB
  260. 53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/1. Project Overview.mp413.51MB
  261. 53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/2. Introduction.mp440.35MB
  262. 53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/3. Setting up Watson Studio Part-1.mp471.37MB
  263. 53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/4. Setting up Watson Studio Part-2.mp478.39MB
  264. 53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/5. Deploying the Model on Deployment Center.mp442.43MB
  265. 53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/6. Integrating Watson Service with UI.mp4123.66MB
  266. 53. Project-52 Predict Views On Advertisement Using IBM Watson -Deploy On Heroku/7. Deployment on Heroku Cloud.mp4131.4MB
  267. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/1. Overview.mp424.13MB
  268. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/10. Model Building Part-2.mp4105.16MB
  269. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/11. Model Building Part-3.mp4170.88MB
  270. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/12. Model Building Part-4.mp495.68MB
  271. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/13. Model Building Part-5.mp419.11MB
  272. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/14. Integrating with UI.mp4127.99MB
  273. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/15. Deployment on Heroku.mp474.62MB
  274. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/2. EDA Part-1.mp450.48MB
  275. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/3. EDA Part-2.mp498.1MB
  276. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/4. EDA Part-3.mp498.7MB
  277. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/5. EDA Part-4.mp4105.4MB
  278. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/6. EDA Part-5.mp4121.08MB
  279. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/7. EDA Part-6.mp4152.67MB
  280. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/8. EDA Part-7.mp4114.84MB
  281. 54. Project-53 Laptop Price Predictor -Deploy On Heroku/9. Model Building Part-1.mp4156.11MB
  282. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/1. Introduction.mp455.02MB
  283. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/10. Text Analytics Part 3.mp4112.23MB
  284. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/11. Text Analytics Part 4.mp4129.56MB
  285. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/12. Text Analytics Part 5.mp4109.3MB
  286. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/13. Text Analytics Part 6.mp486.33MB
  287. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/14. Deployment on Heroku Cloud.mp4105.14MB
  288. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/2. Fetching Data from Whatsapp.mp425.73MB
  289. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/3. Project Structure.mp465.74MB
  290. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/4. Text Processing Part 1.mp4119.08MB
  291. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/5. Text Processing Part2.mp4138.33MB
  292. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/6. Text Processing Part 3.mp457.96MB
  293. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/7. Text Processing Part 4.mp4155.37MB
  294. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/8. Text Analytics Part 1.mp4124.72MB
  295. 55. Project-54 WhatsApp Text Analyzer -Deploy On Heroku/9. Text Analytics Part 2.mp4106.35MB
  296. 56. Project-55 Course Recommendation System -Deploy On Heroku/1. Introduction.mp435.15MB
  297. 56. Project-55 Course Recommendation System -Deploy On Heroku/2. Coding Recommendation System.mp4119.3MB
  298. 56. Project-55 Course Recommendation System -Deploy On Heroku/3. Integrating with Flask Server.mp4165.59MB
  299. 56. Project-55 Course Recommendation System -Deploy On Heroku/4. Exploratory Data Analysis.mp493.43MB
  300. 56. Project-55 Course Recommendation System -Deploy On Heroku/5. Integrating Python Code with JavaScript.mp4108.9MB
  301. 56. Project-55 Course Recommendation System -Deploy On Heroku/6. Deployment on Heroku Cloud.mp468.66MB
  302. 57. Project-56 IPL Match Win Predictor -Deploy On Heroku/1. Introduction.mp425.63MB
  303. 57. Project-56 IPL Match Win Predictor -Deploy On Heroku/2. EDA Part 1.mp4123.23MB
  304. 57. Project-56 IPL Match Win Predictor -Deploy On Heroku/3. EDA Part 2.mp478.67MB
  305. 57. Project-56 IPL Match Win Predictor -Deploy On Heroku/4. EDA Part 3.mp4131.09MB
  306. 57. Project-56 IPL Match Win Predictor -Deploy On Heroku/5. EDA Part 4.mp486.16MB
  307. 57. Project-56 IPL Match Win Predictor -Deploy On Heroku/6. Model Building.mp4125.32MB
  308. 57. Project-56 IPL Match Win Predictor -Deploy On Heroku/7. Coding the UI.mp499.65MB
  309. 57. Project-56 IPL Match Win Predictor -Deploy On Heroku/8. Deployment on Heroku Cloud.mp4127.69MB
  310. 58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/1. Introduction.mp437.77MB
  311. 58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/10. Model Deployment on Azure Part 1.mp4141.51MB
  312. 58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/11. Model Deployment on Azure Part 2.mp439.67MB
  313. 58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/2. EDA Part 1.mp494.71MB
  314. 58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/3. EDA Part 2.mp493.67MB
  315. 58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/4. Feature Selection Part 1.mp4106.78MB
  316. 58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/5. Feature Selection Part 2.mp456.91MB
  317. 58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/6. Model Building.mp470.94MB
  318. 58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/7. Model Evaluation.mp469.04MB
  319. 58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/8. Coding the UI Part 1.mp4109.79MB
  320. 58. Project-57 Body Fat Estimator App -Deploy On Microsoft Azure/9. Coding the UI Part 2.mp4129.69MB
  321. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/1. Introduction.mp440.07MB
  322. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/10. Coding the UI Part 3.mp4147.92MB
  323. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/11. Deployment Part 1.mp4145.39MB
  324. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/12. Deployment Part 2.mp424.83MB
  325. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/2. Data Preprocessing.mp497.28MB
  326. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/3. EDA Part 1.mp4121.04MB
  327. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/4. EDA Part 2.mp468.13MB
  328. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/5. Feature Selection.mp4132.27MB
  329. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/6. Model Building.mp457.35MB
  330. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/7. Hyper Parameter Tuning, Model Testing.mp4152.94MB
  331. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/8. Coding the UI Part 1.mp457.87MB
  332. 59. Project-58 Campus Placement Predictor App -Deploy On Microsoft Azure/9. Coding the UI Part 2.mp4115.01MB
  333. 6. Project-5 Project on text extraction from images/1. Introduction to text extraction.mp418.5MB
  334. 6. Project-5 Project on text extraction from images/2. Importing libraries and data.mp433.93MB
  335. 6. Project-5 Project on text extraction from images/3. Extracting the test from image.mp440.66MB
  336. 6. Project-5 Project on text extraction from images/4. Modifying the extractor.mp469.92MB
  337. 6. Project-5 Project on text extraction from images/5. Creating the extractor app.mp438.61MB
  338. 6. Project-5 Project on text extraction from images/6. Running the extractor app.mp414.84MB
  339. 60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/1. Introduction.mp453.14MB
  340. 60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/2. Data Preprocessing.mp4120.84MB
  341. 60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/3. Model Building.mp488.48MB
  342. 60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/4. Coding the UI.mp4145.99MB
  343. 60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/5. Integrating Jinja Framework.mp4134.11MB
  344. 60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/6. Integrating JavaScript with Flask.mp486.15MB
  345. 60. Project-59 Car Acceptability Predictor -Deploy On Google Cloud/7. Deployment on Google Cloud Platform -GCP.mp4165.28MB
  346. 61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/1. Introduction.mp444.13MB
  347. 61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/2. Text Processing Part1.mp4126.93MB
  348. 61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/3. Text Processing Part2.mp4110.52MB
  349. 61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/4. Model Building.mp494.69MB
  350. 61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/5. Model Testing.mp460.25MB
  351. 61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/6. Integrating Model with Flask.mp4129.29MB
  352. 61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/7. Touch points on Amazon Web Services -AWS.mp474.59MB
  353. 61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/8. Deploying model on AWS EC2 instance.mp4301.19MB
  354. 61. Project-60 Book Genre Classification App -Deploy On Amazon Web Services/9. Fixing the Errors.mp433.98MB
  355. 7. Project-6 Plant Disease Prediction Streamlit App/1. Introduction.mp435.09MB
  356. 7. Project-6 Plant Disease Prediction Streamlit App/2. Importing libraries and data.mp431.75MB
  357. 7. Project-6 Plant Disease Prediction Streamlit App/3. Understanding the data and data preprocessing.mp449.87MB
  358. 7. Project-6 Plant Disease Prediction Streamlit App/4. Model building.mp476.8MB
  359. 7. Project-6 Plant Disease Prediction Streamlit App/5. Creating an app using streamlit.mp451.26MB
  360. 8. Project-7 Vehicle Detection And Counting Flask App/1. Introduction.mp425.78MB
  361. 8. Project-7 Vehicle Detection And Counting Flask App/2. Importing libraries and data.mp422.4MB
  362. 8. Project-7 Vehicle Detection And Counting Flask App/3. Transforming Images and creating output.mp499.15MB
  363. 8. Project-7 Vehicle Detection And Counting Flask App/4. Creating a flask App.mp483.95MB
  364. 9. Project-8 Create A Face Swapping Flask App/1. Introduction.mp420.39MB
  365. 9. Project-8 Create A Face Swapping Flask App/2. Importing libraries and data.mp436.17MB
  366. 9. Project-8 Create A Face Swapping Flask App/3. Data preprocessing and creating output.mp4127.55MB
  367. 9. Project-8 Create A Face Swapping Flask App/4. Creating A Flask App.mp478.48MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！ 亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！

违规内容投诉邮箱：[email protected]

概述 838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息 838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统
838888磁力链接 磁力链接bt种子搜索引擎磁力搜索 DMCA