Data Science Made Easy Hands-On Analytics with No-Code Software Tool KNIME

磁力链接/BT种子名称

Data Science Made Easy Hands-On Analytics with No-Code Software Tool KNIME

磁力链接/BT种子简介

种子哈希：51695013d7db96c921f3860309329c1129c280ca
文件大小： 1.36G
已经下载：1042次
下载速度：极快
收录时间：2025-04-17
最近下载：2025-09-07

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文件列表

  • Lesson 1 Data Science Overview/005. 1.4 AIML Evolution.mp4 102.2 MB
  • Lesson 3 ML Model Development with KNIME/002. 3.1 Data Ingestion and Preparation Part 1.mp4 98.0 MB
  • Lesson 1 Data Science Overview/003. 1.2 Data Science Process.mp4 95.3 MB
  • Lesson 2 Data Science Tools/003. 2.2 Introduction to KNIME AP.mp4 91.6 MB
  • Lesson 2 Data Science Tools/006. 2.5 KNIME Demo with Iris Dataset Part 2.mp4 88.5 MB
  • Lesson 4 Best Practices in Data Science and AIML/005. 4.4 Model Explainability (XAI).mp4 84.4 MB
  • Lesson 4 Best Practices in Data Science and AIML/002. 4.1 Data Balancing for Class Imbalance Problem.mp4 83.1 MB
  • Lesson 2 Data Science Tools/002. 2.1 Tool Landscape.mp4 79.7 MB
  • Lesson 5 Text Analytics/004. 5.3 TM Applications Sentiment Analysis.mp4 79.2 MB
  • Lesson 1 Data Science Overview/002. 1.1 Definition, Terminology, and a Simple Taxonomy.mp4 74.1 MB
  • Lesson 1 Data Science Overview/004. 1.3 Data Science Methods and Algorithms.mp4 72.2 MB
  • Lesson 4 Best Practices in Data Science and AIML/004. 4.3 Model Ensembles (with Bagging & Boosting).mp4 64.9 MB
  • Lesson 5 Text Analytics/003. 5.2 Text Mining Process.mp4 58.1 MB
  • Lesson 3 ML Model Development with KNIME/003. 3.2 Data Ingestion and Preparation Part 2.mp4 54.7 MB
  • Lesson 5 Text Analytics/005. 5.4 TM Applications Topic Modeling.mp4 52.0 MB
  • Lesson 4 Best Practices in Data Science and AIML/003. 4.2 Cross Validation for Bias-Variance Tradeoff.mp4 50.8 MB
  • Lesson 2 Data Science Tools/005. 2.4 KNIME Demo with Iris Dataset Part 1.mp4 43.0 MB
  • Lesson 3 ML Model Development with KNIME/004. 3.3 ML Model Building and Testing.mp4 42.4 MB
  • Lesson 5 Text Analytics/002. 5.1 Overview of Text Mining and Natural Language Processing (NLP).mp4 35.1 MB
  • Lesson 3 ML Model Development with KNIME/005. 3.4 Comparative Assessment.mp4 30.8 MB
  • Introduction/001. Data Science Made Easy Introduction.mp4 26.3 MB
  • Summary/001. Data Science Made Easy Summary.mp4 15.7 MB
  • Lesson 4 Best Practices in Data Science and AIML/001. Topics.mp4 9.0 MB
  • Lesson 2 Data Science Tools/004. 2.3 Nodes and Extensions.mp4 8.7 MB
  • Lesson 2 Data Science Tools/001. Topics.mp4 5.9 MB
  • Lesson 5 Text Analytics/001. Topics.mp4 5.8 MB
  • Lesson 1 Data Science Overview/001. Topics.mp4 5.5 MB
  • Lesson 3 ML Model Development with KNIME/001. Topics.mp4 4.7 MB
  • Lesson 2 Data Science Tools/006. 2.5 KNIME Demo with Iris Dataset Part 2.en.srt 32.6 kB
  • Lesson 3 ML Model Development with KNIME/002. 3.1 Data Ingestion and Preparation Part 1.en.srt 25.0 kB
  • Lesson 4 Best Practices in Data Science and AIML/005. 4.4 Model Explainability (XAI).en.srt 23.6 kB
  • Lesson 5 Text Analytics/004. 5.3 TM Applications Sentiment Analysis.en.srt 22.7 kB
  • Lesson 1 Data Science Overview/003. 1.2 Data Science Process.en.srt 21.2 kB
  • Lesson 4 Best Practices in Data Science and AIML/002. 4.1 Data Balancing for Class Imbalance Problem.en.srt 19.1 kB
  • Lesson 3 ML Model Development with KNIME/003. 3.2 Data Ingestion and Preparation Part 2.en.srt 19.0 kB
  • Lesson 4 Best Practices in Data Science and AIML/004. 4.3 Model Ensembles (with Bagging & Boosting).en.srt 18.5 kB
  • Lesson 2 Data Science Tools/002. 2.1 Tool Landscape.en.srt 17.8 kB
  • Lesson 1 Data Science Overview/005. 1.4 AIML Evolution.en.srt 17.0 kB
  • Lesson 4 Best Practices in Data Science and AIML/003. 4.2 Cross Validation for Bias-Variance Tradeoff.en.srt 16.1 kB
  • Lesson 5 Text Analytics/003. 5.2 Text Mining Process.en.srt 15.8 kB
  • Lesson 5 Text Analytics/005. 5.4 TM Applications Topic Modeling.en.srt 15.4 kB
  • Lesson 1 Data Science Overview/002. 1.1 Definition, Terminology, and a Simple Taxonomy.en.srt 15.3 kB
  • Lesson 1 Data Science Overview/004. 1.3 Data Science Methods and Algorithms.en.srt 14.8 kB
  • Lesson 3 ML Model Development with KNIME/004. 3.3 ML Model Building and Testing.en.srt 14.2 kB
  • Lesson 2 Data Science Tools/003. 2.2 Introduction to KNIME AP.en.srt 13.9 kB
  • Lesson 2 Data Science Tools/005. 2.4 KNIME Demo with Iris Dataset Part 1.en.srt 11.7 kB
  • Lesson 5 Text Analytics/002. 5.1 Overview of Text Mining and Natural Language Processing (NLP).en.srt 9.9 kB
  • Lesson 3 ML Model Development with KNIME/005. 3.4 Comparative Assessment.en.srt 9.4 kB
  • Introduction/001. Data Science Made Easy Introduction.en.srt 3.8 kB
  • Lesson 2 Data Science Tools/004. 2.3 Nodes and Extensions.en.srt 3.3 kB
  • Summary/001. Data Science Made Easy Summary.en.srt 2.1 kB
  • Lesson 4 Best Practices in Data Science and AIML/001. Topics.en.srt 1.3 kB
  • Lesson 5 Text Analytics/001. Topics.en.srt 858 Bytes
  • Lesson 2 Data Science Tools/001. Topics.en.srt 822 Bytes
  • Lesson 3 ML Model Development with KNIME/001. Topics.en.srt 631 Bytes
  • Lesson 1 Data Science Overview/001. Topics.en.srt 498 Bytes

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