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

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

Name	Data Science Made Easy Hands-On Analytics with No-Code Software Tool KNIME	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.5 GB
Total Files	56
Last Seen	2025-07-19 00:15
Hash	51695013D7DB96C921F3860309329C1129C280CA

/Lesson 1 Data Science Overview/
005. 1.4 AIML Evolution.mp4	102.2 MB
001. Topics.en.srt	0.5 KB
001. Topics.mp4	5.5 MB
002. 1.1 Definition, Terminology, and a Simple Taxonomy.en.srt	15.3 KB
002. 1.1 Definition, Terminology, and a Simple Taxonomy.mp4	74.1 MB
003. 1.2 Data Science Process.en.srt	21.2 KB
003. 1.2 Data Science Process.mp4	95.3 MB
004. 1.3 Data Science Methods and Algorithms.en.srt	14.8 KB
004. 1.3 Data Science Methods and Algorithms.mp4	72.2 MB
005. 1.4 AIML Evolution.en.srt	17.0 KB
/Introduction/
001. Data Science Made Easy Introduction.mp4	26.3 MB
001. Data Science Made Easy Introduction.en.srt	3.8 KB
/Lesson 2 Data Science Tools/
001. Topics.en.srt	0.8 KB
001. Topics.mp4	5.9 MB
002. 2.1 Tool Landscape.en.srt	17.8 KB
002. 2.1 Tool Landscape.mp4	79.7 MB
003. 2.2 Introduction to KNIME AP.en.srt	13.9 KB
003. 2.2 Introduction to KNIME AP.mp4	91.6 MB
004. 2.3 Nodes and Extensions.en.srt	3.3 KB
004. 2.3 Nodes and Extensions.mp4	8.7 MB
005. 2.4 KNIME Demo with Iris Dataset Part 1.en.srt	11.7 KB
005. 2.4 KNIME Demo with Iris Dataset Part 1.mp4	43.0 MB
006. 2.5 KNIME Demo with Iris Dataset Part 2.en.srt	32.6 KB
006. 2.5 KNIME Demo with Iris Dataset Part 2.mp4	88.5 MB
/Lesson 3 ML Model Development with KNIME/
001. Topics.en.srt	0.6 KB
001. Topics.mp4	4.7 MB
002. 3.1 Data Ingestion and Preparation Part 1.en.srt	25.0 KB
002. 3.1 Data Ingestion and Preparation Part 1.mp4	98.0 MB
003. 3.2 Data Ingestion and Preparation Part 2.en.srt	19.0 KB
003. 3.2 Data Ingestion and Preparation Part 2.mp4	54.7 MB
004. 3.3 ML Model Building and Testing.en.srt	14.2 KB
004. 3.3 ML Model Building and Testing.mp4	42.4 MB
005. 3.4 Comparative Assessment.en.srt	9.4 KB
005. 3.4 Comparative Assessment.mp4	30.8 MB
/Lesson 4 Best Practices in Data Science and AIML/
001. Topics.en.srt	1.3 KB
001. Topics.mp4	9.0 MB
002. 4.1 Data Balancing for Class Imbalance Problem.en.srt	19.1 KB
002. 4.1 Data Balancing for Class Imbalance Problem.mp4	83.1 MB
003. 4.2 Cross Validation for Bias-Variance Tradeoff.en.srt	16.1 KB
003. 4.2 Cross Validation for Bias-Variance Tradeoff.mp4	50.8 MB
004. 4.3 Model Ensembles (with Bagging & Boosting).en.srt	18.5 KB
004. 4.3 Model Ensembles (with Bagging & Boosting).mp4	64.9 MB
005. 4.4 Model Explainability (XAI).en.srt	23.6 KB
005. 4.4 Model Explainability (XAI).mp4	84.4 MB
/Lesson 5 Text Analytics/
001. Topics.en.srt	0.9 KB
001. Topics.mp4	5.8 MB
002. 5.1 Overview of Text Mining and Natural Language Processing (NLP).en.srt	9.9 KB
002. 5.1 Overview of Text Mining and Natural Language Processing (NLP).mp4	35.1 MB
003. 5.2 Text Mining Process.en.srt	15.8 KB
003. 5.2 Text Mining Process.mp4	58.1 MB
004. 5.3 TM Applications Sentiment Analysis.en.srt	22.7 KB
004. 5.3 TM Applications Sentiment Analysis.mp4	79.2 MB
005. 5.4 TM Applications Topic Modeling.en.srt	15.4 KB
005. 5.4 TM Applications Topic Modeling.mp4	52.0 MB
/Summary/
001. Data Science Made Easy Summary.en.srt	2.1 KB
001. Data Science Made Easy Summary.mp4	15.7 MB
Total files 56