Topics

Definition, Terminology, and a Simple Taxonomy

Data Science Process

Data Science Methods and Algorithms

AIML Evolution

Data Science Made Easy Introduction

Data Science Made Easy Introduction

Nodes and Extensions

KNIME Demo with Iris Dataset Part 1

Tool Landscape

Introduction to KNIME AP

KNIME Demo with Iris Dataset Part 2

Data Ingestion and Preparation Part 1

ML Model Building and Testing

Comparative Assessment

Cross Validation for Bias-Variance Tradeoff

Model Ensembles (with Bagging & Boosting)

Data Balancing for Class Imbalance Problem

Model Explainability (XAI)

Overview of Text Mining and Natural Language Processing (NLP)

TM Applications Topic Modeling

Text Mining Process

TM Applications Sentiment Analysis

Data Science Made Easy Summary