本站已收录 番号和无损神作磁力链接/BT种子 

[ DevCourseWeb.com ] Udemy - Artificial Intelligence Projects with Python (updated 9 - 2021)

种子简介

种子名称: [ DevCourseWeb.com ] Udemy - Artificial Intelligence Projects with Python (updated 9 - 2021)
文件类型: 视频
文件数目: 37个文件
文件大小: 2.55 GB
收录时间: 2023-1-15 17:24
已经下载: 3
资源热度: 206
最近下载: 2024-12-27 13:15

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:364d2511325fb28d66f419e68e7b8b270f23ac65&dn=[ DevCourseWeb.com ] Udemy - Artificial Intelligence Projects with Python (updated 9 - 2021) 复制链接到迅雷、QQ旋风进行下载,或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[ DevCourseWeb.com ] Udemy - Artificial Intelligence Projects with Python (updated 9 - 2021).torrent
  • ~Get Your Files Here !/1. Introduction/1. Course Introduction.mp4149.87MB
  • ~Get Your Files Here !/1. Introduction/2. Python and Anaconda 3 Installation.mp429.46MB
  • ~Get Your Files Here !/10. Project #9 Airline Passenger(Time Series) Prediction using Deep Learning/1. Project Brief.mp438.21MB
  • ~Get Your Files Here !/10. Project #9 Airline Passenger(Time Series) Prediction using Deep Learning/2. Implementing the Project using Python - Part 1.mp4140.84MB
  • ~Get Your Files Here !/10. Project #9 Airline Passenger(Time Series) Prediction using Deep Learning/3. Implementing the Project using Python - Part 2.mp468.44MB
  • ~Get Your Files Here !/11. Project #10 San Francisco Crime Geographical Clustering using Machine Learning/1. Project Brief.mp429.4MB
  • ~Get Your Files Here !/11. Project #10 San Francisco Crime Geographical Clustering using Machine Learning/2. Implementing the Project using Python - Part 1.mp4156.02MB
  • ~Get Your Files Here !/11. Project #10 San Francisco Crime Geographical Clustering using Machine Learning/3. Implementing the Project using Python - Part 2.mp435.76MB
  • ~Get Your Files Here !/11. Project #10 San Francisco Crime Geographical Clustering using Machine Learning/4. Implementing the Project using Python - Part 3.mp419.25MB
  • ~Get Your Files Here !/11. Project #10 San Francisco Crime Geographical Clustering using Machine Learning/5. Implementing the Project using Python - Part 4.mp4148.7MB
  • ~Get Your Files Here !/12. Project #11 Image Classification using Transfer Learning (Deep Learning)/1. Project Brief.mp431.36MB
  • ~Get Your Files Here !/12. Project #11 Image Classification using Transfer Learning (Deep Learning)/2. Implementing the Project using Python - Part 1.mp4139.18MB
  • ~Get Your Files Here !/12. Project #11 Image Classification using Transfer Learning (Deep Learning)/3. Implementing the Project using Python - Part 2.mp439.44MB
  • ~Get Your Files Here !/13. Project #12 Military Aircraft Image Classification using Deep Learning/1. Project Brief.mp420.86MB
  • ~Get Your Files Here !/13. Project #12 Military Aircraft Image Classification using Deep Learning/2. Implementing the Project using Python - Part 1.mp4151.81MB
  • ~Get Your Files Here !/13. Project #12 Military Aircraft Image Classification using Deep Learning/3. Implementing the Project using Python - Part 2.mp4169.63MB
  • ~Get Your Files Here !/2. Project # 1 House Price Prediction using Machine Learning/1. Project Brief.mp423.77MB
  • ~Get Your Files Here !/2. Project # 1 House Price Prediction using Machine Learning/2. Implementing the Project using Python.mp458.3MB
  • ~Get Your Files Here !/3. Project #2 HR Salary Calculation using Machine Learning/1. Project Brief.mp418.13MB
  • ~Get Your Files Here !/3. Project #2 HR Salary Calculation using Machine Learning/2. Implementing the Project using Python.mp473.69MB
  • ~Get Your Files Here !/4. Project #3 Handwritten Digit Recognition using Multiple Machine Learning Models/1. Project Brief.mp419.16MB
  • ~Get Your Files Here !/4. Project #3 Handwritten Digit Recognition using Multiple Machine Learning Models/2. Implementing the Project using Python - Part 1.mp473.43MB
  • ~Get Your Files Here !/4. Project #3 Handwritten Digit Recognition using Multiple Machine Learning Models/3. Implementing the Project using Python - Part 2.mp445MB
  • ~Get Your Files Here !/5. Project #4 Advanced Customer Segmentation using Machine Learning/1. Project Brief.mp429.24MB
  • ~Get Your Files Here !/5. Project #4 Advanced Customer Segmentation using Machine Learning/2. Implementing the Project using Python.mp4131MB
  • ~Get Your Files Here !/6. Project #5 IMDB Sentiment Analysis using NLP (Natural Language Processing)/1. Project Brief.mp413.17MB
  • ~Get Your Files Here !/6. Project #5 IMDB Sentiment Analysis using NLP (Natural Language Processing)/2. Implementing the Project using Python - Part 1.mp4128.32MB
  • ~Get Your Files Here !/6. Project #5 IMDB Sentiment Analysis using NLP (Natural Language Processing)/3. Implementing the Project using Python - Part 2.mp455.29MB
  • ~Get Your Files Here !/6. Project #5 IMDB Sentiment Analysis using NLP (Natural Language Processing)/4. Implementing the Project using Python - Part 3.mp431.69MB
  • ~Get Your Files Here !/7. Project #6 Building a Movie Recommendation System/1. Project Brief.mp410.07MB
  • ~Get Your Files Here !/7. Project #6 Building a Movie Recommendation System/2. Implementing the Project using Python.mp4157.99MB
  • ~Get Your Files Here !/8. Project #7 Predicting Diabets using Artifical Neural Networks/1. Project Brief.mp436.16MB
  • ~Get Your Files Here !/8. Project #7 Predicting Diabets using Artifical Neural Networks/2. Implementing the Project using Python - Part 1.mp461.89MB
  • ~Get Your Files Here !/8. Project #7 Predicting Diabets using Artifical Neural Networks/3. Implementing the Project using Python - Part 2.mp484.97MB
  • ~Get Your Files Here !/9. Project #8 Image Classification using Deep Learning Algorithms/1. Project Brief.mp426.23MB
  • ~Get Your Files Here !/9. Project #8 Image Classification using Deep Learning Algorithms/2. Implementing the Project using Python - Part 1.mp483.5MB
  • ~Get Your Files Here !/9. Project #8 Image Classification using Deep Learning Algorithms/3. Implementing the Project using Python - Part 2.mp483.39MB