本站已收录 番号和无损神作磁力链接/BT种子 

Packt.Step.by.Step.Machine.Learning.with.Python

种子简介

种子名称: Packt.Step.by.Step.Machine.Learning.with.Python
文件类型: 视频
文件数目: 47个文件
文件大小: 951.29 MB
收录时间: 2017-12-12 22:14
已经下载: 3
资源热度: 101
最近下载: 2024-7-6 17:23

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:cc6469702160d18e078735731ab059a59bdc3dd7&dn=Packt.Step.by.Step.Machine.Learning.with.Python 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

Packt.Step.by.Step.Machine.Learning.with.Python.torrent
  • 1 - Getting Started with Python and Machine Learning/Installing Software and Setting Up.mp422.01MB
  • 1 - Getting Started with Python and Machine Learning/Introduction to Machine Learning.mp413.02MB
  • 1 - Getting Started with Python and Machine Learning/The Course Overview.mp417.18MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Clustering.mp410.44MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Data Preprocessing.mp49.15MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Getting the Newsgroups Data.mp414.1MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Machine Learning with Python.mp41.61MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Thinking about Features.mp420.34MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Topic Modeling.mp413.04MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Touring Powerful NLP Libraries in Python.mp440.29MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Understanding NLP.mp415.97MB
  • 2 - Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms/Visualization.mp411.53MB
  • 3 - Spam Email Detection with Naïve Bayes#/Classifier Performance Evaluation.mp436.98MB
  • 3 - Spam Email Detection with Naïve Bayes#/Exploring Naïve Bayes.mp45.1MB
  • 3 - Spam Email Detection with Naïve Bayes#/Getting Started with Classification.mp48.76MB
  • 3 - Spam Email Detection with Naïve Bayes#/Model Tuning and cross-validation.mp418.26MB
  • 3 - Spam Email Detection with Naïve Bayes#/The Mechanics of Naïve Bayes.mp47.33MB
  • 3 - Spam Email Detection with Naïve Bayes#/The Naïve Bayes Implementation.mp457.36MB
  • 4 - News Topic Classification with Support Vector Machine/Choosing Between the Linear and the RBF Kernel.mp414.21MB
  • 4 - News Topic Classification with Support Vector Machine/Fetal State Classification with SVM.mp421.84MB
  • 4 - News Topic Classification with Support Vector Machine/News topic Classification with Support Vector Machine.mp436.37MB
  • 4 - News Topic Classification with Support Vector Machine/Recap and Inverse Document Frequency.mp416.63MB
  • 4 - News Topic Classification with Support Vector Machine/The Implementations of SVM.mp419.68MB
  • 4 - News Topic Classification with Support Vector Machine/The Kernels of SVM.mp411.79MB
  • 4 - News Topic Classification with Support Vector Machine/The Mechanics of SVM.mp49.16MB
  • 5 - Click-Through Prediction with Tree-Based Algorithms/Brief Overview of Advertising Click-Through Prediction.mp411MB
  • 5 - Click-Through Prediction with Tree-Based Algorithms/Click-Through Prediction with Decision Tree.mp424.99MB
  • 5 - Click-Through Prediction with Tree-Based Algorithms/Decision Tree Classifier.mp436.69MB
  • 5 - Click-Through Prediction with Tree-Based Algorithms/Random Forest - Feature Bagging of Decision Tree.mp418.28MB
  • 5 - Click-Through Prediction with Tree-Based Algorithms/The Implementations of Decision Tree.mp422.81MB
  • 6 - Click-Through Prediction with Logistic Regression#/Click-Through Prediction with Logistic Regression by Gradient Descent.mp475.32MB
  • 6 - Click-Through Prediction with Logistic Regression#/Feature Selection via Random Forest.mp416.04MB
  • 6 - Click-Through Prediction with Logistic Regression#/Logistic Regression Classifier.mp437.4MB
  • 6 - Click-Through Prediction with Logistic Regression#/One-Hot Encoding - Converting Categorical Features to Numerical.mp421.42MB
  • 7 - Stock Price Prediction with Regression Algorithms/Brief Overview of the Stock Market And Stock Price.mp47.05MB
  • 7 - Stock Price Prediction with Regression Algorithms/Data Acquisition and Feature Generation.mp412.29MB
  • 7 - Stock Price Prediction with Regression Algorithms/Decision Tree Regression.mp427.45MB
  • 7 - Stock Price Prediction with Regression Algorithms/Linear Regression.mp430.28MB
  • 7 - Stock Price Prediction with Regression Algorithms/Machine Learning with Python.mp41.61MB
  • 7 - Stock Price Prediction with Regression Algorithms/Predicting Stock Price with Regression Algorithms.mp424.42MB
  • 7 - Stock Price Prediction with Regression Algorithms/Regression Performance Evaluation.mp412.72MB
  • 7 - Stock Price Prediction with Regression Algorithms/Stock Price Prediction with Regression Algorithms.mp434.23MB
  • 7 - Stock Price Prediction with Regression Algorithms/Support Vector Regression.mp48.09MB
  • 8 - Best Practices/Best Practices in Data Preparation Stage.mp431.86MB
  • 8 - Best Practices/Best Practices in the Deployment and Monitoring Stage.mp413.9MB
  • 8 - Best Practices/Best Practices in the Model Training, Evaluation, and Selection Stage.mp410.84MB
  • 8 - Best Practices/Best Practices in the Training Sets Generation Stage.mp420.46MB