Data Analytics and Machine Learning Table of Contents Course Outline Chapter 1: Introduction to Data Analytics 1.1 Understanding Data Analytics 1.2. Data Analysis vs. Data Analytics 1.3. Types of Analytics 1.4. Mathematical Models in Analytics 1.5. Model Evaluation Metrics CH.1 Quest Question Bank 1 CH.1 Quest Question Bank 2 Chapter 2: Machine Learning Overview 2.1. Introduction to Machine Learning, Deep Learning, and AI 2.2. Applications of Machine Learning in Data Science 2.3. The Modeling Process 2.4. Types of Machine Learning 2.5. Regression and Classification Chapter 3: Mining Frequent Patterns, Associations, and Correlations 3.1. Pattern Mining Overview 3.2. Frequent Pattern Mining 3.3. Frequent Itemset Mining Methods Chapter 4: Social Media and Text Analytics CH.1 Quest Question Bank 2 4.1. Introduction to Social Media Analytics 4.2. Social Media Analytics Process 4.3. Key Social Media Analytics Methods 4.4. Social Network Analysis 4.5. Prediction of Trust and Distrust Among Individuals 4.6. Introduction to Natural Language Processing (NLP) 4.7. Text Analytics Techniques 4.8. Sentiment Analysis 4.9 Trend Analytics 4.10. Challenges in Social Media Analytics
