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

[0dayddl]

1.36 GB | 14min 3s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

FileName :001 Data Science Made Easy Introduction.mp4 | Size: (25.06 MB)
FileName :001 Topics.mp4 | Size: (5.24 MB)
FileName :002 1 1 Definition, Terminology, and a Simple Taxonomy.mp4 | Size: (70.68 MB)
FileName :003 1 2 Data Science Process.mp4 | Size: (90.93 MB)
FileName :004 1 3 Data Science Methods and Algorithms.mp4 | Size: (68.83 MB)
FileName :005 1 4 AIML Evolution.mp4 | Size: (97.46 MB)
FileName :001 Topics.mp4 | Size: (5.66 MB)
FileName :002 2 1 Tool Landscape.mp4 | Size: (76.01 MB)
FileName :003 2 2 Introduction to KNIME AP.mp4 | Size: (87.32 MB)
FileName :004 2 3 Nodes and Extensions.mp4 | Size: (8.27 MB)
FileName :005 2 4 KNIME Demo with Iris Dataset Part 1.mp4 | Size: (41.03 MB)
FileName :006 2 5 KNIME Demo with Iris Dataset Part 2.mp4 | Size: (84.38 MB)
FileName :001 Topics.mp4 | Size: (4.49 MB)
FileName :002 3 1 Data Ingestion and Preparation Part 1.mp4 | Size: (93.49 MB)
FileName :003 3 2 Data Ingestion and Preparation Part 2.mp4 | Size: (52.12 MB)
FileName :004 3 3 ML Model Building and Testing.mp4 | Size: (40.42 MB)
FileName :005 3 4 Comparative Assessment.mp4 | Size: (29.36 MB)
FileName :001 Topics.mp4 | Size: (8.63 MB)
FileName :002 4 1 Data Balancing for Class Imbalance Problem.mp4 | Size: (79.27 MB)
FileName :003 4 2 Cross Validation for Bias-Variance Tradeoff.mp4 | Size: (48.49 MB)
FileName :004 4 3 Model Ensembles (with Bagging & Boosting).mp4 | Size: (61.92 MB)
FileName :005 4 4 Model Explainability (XAI).mp4 | Size: (80.46 MB)
FileName :001 Topics.mp4 | Size: (5.57 MB)
FileName :002 5 1 Overview of Text Mining and Natural Language Processing (NLP).mp4 | Size: (33.43 MB)
FileName :003 5 2 Text Mining Process.mp4 | Size: (55.43 MB)
FileName :004 5 3 TM Applications Sentiment Analysis.mp4 | Size: (75.5 MB)
FileName :005 5 4 TM Applications Topic Modeling.mp4 | Size: (49.62 MB)
FileName :001 Data Science Made Easy Summary.mp4 | Size: (14.98 MB)

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[0dayddl]

1.36 GB | 14min 3s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

FileName :001 Data Science Made Easy Introduction.mp4 | Size: (25.06 MB)
FileName :001 Topics.mp4 | Size: (5.24 MB)
FileName :002 1 1 Definition, Terminology, and a Simple Taxonomy.mp4 | Size: (70.68 MB)
FileName :003 1 2 Data Science Process.mp4 | Size: (90.93 MB)
FileName :004 1 3 Data Science Methods and Algorithms.mp4 | Size: (68.83 MB)
FileName :005 1 4 AIML Evolution.mp4 | Size: (97.46 MB)
FileName :001 Topics.mp4 | Size: (5.66 MB)
FileName :002 2 1 Tool Landscape.mp4 | Size: (76.01 MB)
FileName :003 2 2 Introduction to KNIME AP.mp4 | Size: (87.32 MB)
FileName :004 2 3 Nodes and Extensions.mp4 | Size: (8.27 MB)
FileName :005 2 4 KNIME Demo with Iris Dataset Part 1.mp4 | Size: (41.03 MB)
FileName :006 2 5 KNIME Demo with Iris Dataset Part 2.mp4 | Size: (84.38 MB)
FileName :001 Topics.mp4 | Size: (4.49 MB)
FileName :002 3 1 Data Ingestion and Preparation Part 1.mp4 | Size: (93.49 MB)
FileName :003 3 2 Data Ingestion and Preparation Part 2.mp4 | Size: (52.12 MB)
FileName :004 3 3 ML Model Building and Testing.mp4 | Size: (40.42 MB)
FileName :005 3 4 Comparative Assessment.mp4 | Size: (29.36 MB)
FileName :001 Topics.mp4 | Size: (8.63 MB)
FileName :002 4 1 Data Balancing for Class Imbalance Problem.mp4 | Size: (79.27 MB)
FileName :003 4 2 Cross Validation for Bias-Variance Tradeoff.mp4 | Size: (48.49 MB)
FileName :004 4 3 Model Ensembles (with Bagging & Boosting).mp4 | Size: (61.92 MB)
FileName :005 4 4 Model Explainability (XAI).mp4 | Size: (80.46 MB)
FileName :001 Topics.mp4 | Size: (5.57 MB)
FileName :002 5 1 Overview of Text Mining and Natural Language Processing (NLP).mp4 | Size: (33.43 MB)
FileName :003 5 2 Text Mining Process.mp4 | Size: (55.43 MB)
FileName :004 5 3 TM Applications Sentiment Analysis.mp4 | Size: (75.5 MB)
FileName :005 5 4 TM Applications Topic Modeling.mp4 | Size: (49.62 MB)
FileName :001 Data Science Made Easy Summary.mp4 | Size: (14.98 MB)

]
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Data Science Made Easy: Hands-On Analytics with No-Code Software Tool KNIME
ISBN: 9780135405253 | .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 4h 46m | 1.36 GB
Instructor: Dursun Delen​

The Sneak Peek program provides early access to Pearson video products and is exclusively available to subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.

Introduction

Data Science Made Easy: Introduction

Lesson 1: Data Science Overview

Topics
1.1 Definition, Terminology, and a Simple Taxonomy
1.2 Data Science Process
1.3 Data Science Methods and Algorithms
1.4 AI/ML Evolution

Lesson 2: Data Science Tools

Topics
2.1 Tool Landscape
2.2 Introduction to KNIME AP
2.3 Nodes and Extensions
2.4 KNIME Demo with Iris Dataset-Part 1
2.5 KNIME Demo with Iris Dataset-Part 2

Lesson 3: ML Model Development with KNIME

Topics
3.1 Data Ingestion and Preparation-Part 1
3.2 Data Ingestion and Preparation-Part 2
3.3 ML Model Building and Testing
3.4 Comparative Assessment

Lesson 4: Best Practices in Data Science and AI/ML

Topics
4.1 Data Balancing for Class Imbalance Problem
4.2 Cross Validation for Bias-Variance Tradeoff
4.3 Model Ensembles (with Bagging Boosting)
4.4 Model Explainability (XAI)

Lesson 5: Text Analytics

Topics
5.1 Overview of Text Mining and Natural Language Processing (NLP)
5.2 Text Mining Process
5.3 TM Applications―Sentiment Analysis
5.4 TM Applications―Topic Modeling

Summary

Data Science Made Easy: Summary

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