Packt - Python Machine Learning Tips Tricks and Techniques

磁力链接/BT种子名称

Packt - Python Machine Learning Tips Tricks and Techniques

磁力链接/BT种子简介

种子哈希：d44dc115c354eb67ed354e926964d795a38fe931
文件大小：758.2M
已经下载：3411次
下载速度：极快
收录时间：2018-07-27
最近下载：2025-10-05

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磁力链接下载

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文件列表

  • Exercise Files/code_33873.zip 283.4 MB
  • 1.Improving Your Models Using Feature Engineering/02.Using Feature Scaling to Standardize Data.mp4 28.0 MB
  • 1.Improving Your Models Using Feature Engineering/03.Implementing Feature Engineering with Logistic Regression.mp4 10.1 MB
  • 1.Improving Your Models Using Feature Engineering/04.Extracting Data with Feature Selection and Interaction.mp4 17.3 MB
  • 1.Improving Your Models Using Feature Engineering/05.Combining All Together.mp4 11.7 MB
  • 1.Improving Your Models Using Feature Engineering/06.Build Model Based on Real-World Problems.mp4 13.2 MB
  • 2.Feature Improvement with Non Linear Classification Techniques/07.Support Vector Machines.mp4 20.7 MB
  • 2.Feature Improvement with Non Linear Classification Techniques/08.Implementing kNN on the Data Set.mp4 30.9 MB
  • 2.Feature Improvement with Non Linear Classification Techniques/09.Decision Tree as Predictive Model.mp4 24.5 MB
  • 2.Feature Improvement with Non Linear Classification Techniques/10.Tricks with Dimensionality Reduction.mp4 18.9 MB
  • 2.Feature Improvement with Non Linear Classification Techniques/11.Combining All Together.mp4 19.6 MB
  • 3.Power of Ensemble Learning with Python/12.Random Forest for Classification.mp4 21.5 MB
  • 3.Power of Ensemble Learning with Python/13.Gradient Boosting Trees and Bayes Optimization.mp4 30.1 MB
  • 3.Power of Ensemble Learning with Python/14.CatBoost to Handle Categorical Data.mp4 17.9 MB
  • 3.Power of Ensemble Learning with Python/15.Implement Blending.mp4 24.4 MB
  • 3.Power of Ensemble Learning with Python/16.Implement Stacking.mp4 29.7 MB
  • 4.Recommender Systems/17.Memory-Based Collaborative Filtering.mp4 19.7 MB
  • 4.Recommender Systems/18.Item-to-Item Recommendation with kNN.mp4 19.3 MB
  • 4.Recommender Systems/19.Applying Matrix Factorization on Datasets.mp4 24.8 MB
  • 4.Recommender Systems/20.Wordbatch for Real-World Problem.mp4 19.2 MB
  • 5.Boost Your Overall Model Robustness/21.Validation Dataset Tuning.mp4 14.5 MB
  • 5.Boost Your Overall Model Robustness/22.Regularizing Model to Avoid Overfitting.mp4 9.8 MB
  • 5.Boost Your Overall Model Robustness/23.Adversarial Validation.mp4 13.1 MB
  • 5.Boost Your Overall Model Robustness/24.Perform Metric Selection on Real Data.mp4 64.2 MB
  • 1.Improving Your Models Using Feature Engineering/01.The Course Overview.mp4 8.3 MB

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相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！