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

Lesson 1 Data Science Overview/005. 1.4 AIML Evolution.mp4

97.46 MB

Introduction/001. Data Science Made Easy Introduction.mp4

25.06 MB

Lesson 1 Data Science Overview/001. Topics.en.srt

498 B

Lesson 1 Data Science Overview/001. Topics.mp4

5.24 MB

Lesson 1 Data Science Overview/002. 1.1 Definition, Terminology, and a Simple Taxonomy.en.srt

14.92 KB

Lesson 1 Data Science Overview/002. 1.1 Definition, Terminology, and a Simple Taxonomy.mp4

70.68 MB

Lesson 1 Data Science Overview/003. 1.2 Data Science Process.en.srt

20.67 KB

Lesson 1 Data Science Overview/003. 1.2 Data Science Process.mp4

90.93 MB

Lesson 1 Data Science Overview/004. 1.3 Data Science Methods and Algorithms.en.srt

14.43 KB

Lesson 1 Data Science Overview/004. 1.3 Data Science Methods and Algorithms.mp4

68.83 MB

Lesson 1 Data Science Overview/005. 1.4 AIML Evolution.en.srt

16.56 KB

Introduction/001. Data Science Made Easy Introduction.en.srt

3.71 KB

Lesson 2 Data Science Tools/001. Topics.en.srt

822 B

Lesson 2 Data Science Tools/001. Topics.mp4

5.66 MB

Lesson 2 Data Science Tools/002. 2.1 Tool Landscape.en.srt

17.38 KB

Lesson 2 Data Science Tools/002. 2.1 Tool Landscape.mp4

76.01 MB

Lesson 2 Data Science Tools/003. 2.2 Introduction to KNIME AP.en.srt

13.59 KB

Lesson 2 Data Science Tools/003. 2.2 Introduction to KNIME AP.mp4

87.32 MB

Lesson 2 Data Science Tools/004. 2.3 Nodes and Extensions.en.srt

3.24 KB

Lesson 2 Data Science Tools/004. 2.3 Nodes and Extensions.mp4

8.27 MB

Lesson 2 Data Science Tools/005. 2.4 KNIME Demo with Iris Dataset Part 1.en.srt

11.42 KB

Lesson 2 Data Science Tools/005. 2.4 KNIME Demo with Iris Dataset Part 1.mp4

41.03 MB

Lesson 2 Data Science Tools/006. 2.5 KNIME Demo with Iris Dataset Part 2.en.srt

31.86 KB

Lesson 2 Data Science Tools/006. 2.5 KNIME Demo with Iris Dataset Part 2.mp4

84.38 MB

Lesson 3 ML Model Development with KNIME/001. Topics.en.srt

631 B

Lesson 3 ML Model Development with KNIME/001. Topics.mp4

4.49 MB

Lesson 3 ML Model Development with KNIME/002. 3.1 Data Ingestion and Preparation Part 1.en.srt

24.38 KB

Lesson 3 ML Model Development with KNIME/002. 3.1 Data Ingestion and Preparation Part 1.mp4

93.49 MB

Lesson 3 ML Model Development with KNIME/003. 3.2 Data Ingestion and Preparation Part 2.en.srt

18.57 KB

Lesson 3 ML Model Development with KNIME/003. 3.2 Data Ingestion and Preparation Part 2.mp4

52.12 MB

Lesson 3 ML Model Development with KNIME/004. 3.3 ML Model Building and Testing.en.srt

13.91 KB

Lesson 3 ML Model Development with KNIME/004. 3.3 ML Model Building and Testing.mp4

40.42 MB

Lesson 3 ML Model Development with KNIME/005. 3.4 Comparative Assessment.en.srt

9.17 KB

Lesson 3 ML Model Development with KNIME/005. 3.4 Comparative Assessment.mp4

29.36 MB

Lesson 4 Best Practices in Data Science and AIML/001. Topics.en.srt

1.25 KB

Lesson 4 Best Practices in Data Science and AIML/001. Topics.mp4

8.63 MB

Lesson 4 Best Practices in Data Science and AIML/002. 4.1 Data Balancing for Class Imbalance Problem.en.srt

18.68 KB

Lesson 4 Best Practices in Data Science and AIML/002. 4.1 Data Balancing for Class Imbalance Problem.mp4

79.27 MB

Lesson 4 Best Practices in Data Science and AIML/003. 4.2 Cross Validation for Bias-Variance Tradeoff.en.srt

15.74 KB

Lesson 4 Best Practices in Data Science and AIML/003. 4.2 Cross Validation for Bias-Variance Tradeoff.mp4

48.49 MB

Lesson 4 Best Practices in Data Science and AIML/004. 4.3 Model Ensembles (with Bagging & Boosting).en.srt

18.1 KB

Lesson 4 Best Practices in Data Science and AIML/004. 4.3 Model Ensembles (with Bagging & Boosting).mp4

61.92 MB

Lesson 4 Best Practices in Data Science and AIML/005. 4.4 Model Explainability (XAI).en.srt

23.02 KB

Lesson 4 Best Practices in Data Science and AIML/005. 4.4 Model Explainability (XAI).mp4

80.46 MB

Lesson 5 Text Analytics/001. Topics.en.srt

858 B

Lesson 5 Text Analytics/001. Topics.mp4

5.57 MB

Lesson 5 Text Analytics/002. 5.1 Overview of Text Mining and Natural Language Processing (NLP).en.srt

9.69 KB

Lesson 5 Text Analytics/002. 5.1 Overview of Text Mining and Natural Language Processing (NLP).mp4

33.43 MB

Lesson 5 Text Analytics/003. 5.2 Text Mining Process.en.srt

15.45 KB

Lesson 5 Text Analytics/003. 5.2 Text Mining Process.mp4

55.43 MB

Lesson 5 Text Analytics/004. 5.3 TM Applications Sentiment Analysis.en.srt

22.19 KB

Lesson 5 Text Analytics/004. 5.3 TM Applications Sentiment Analysis.mp4

75.5 MB

Lesson 5 Text Analytics/005. 5.4 TM Applications Topic Modeling.en.srt

15.01 KB

Lesson 5 Text Analytics/005. 5.4 TM Applications Topic Modeling.mp4

49.62 MB

Summary/001. Data Science Made Easy Summary.en.srt

2.07 KB

Summary/001. Data Science Made Easy Summary.mp4

14.98 MB

资源详情

免责声明