Month 17: Exploring Data Mining Techniques

Month 17: Exploring Data Mining Techniques

Week 1: Introduction to Data Mining

• Day 1: Basics of Data Mining
• Day 2: Understanding the Data Mining Process
• Day 3: Types of Data Mining
• Day 4: Data Mining Tasks
• Day 5: Challenges and Ethics in Data Mining

Week 2: Data Preprocessing for Data Mining

• Day 1: Importance of Data Preprocessing
• Day 2: Data Cleaning and Transformation
• Day 3: Data Reduction
• Day 4: Data Discretization and Binarization
• Day 5: Handling Missing Values

Week 3: Classification Techniques in Data Mining

• Day 1: Understanding Classification in Data Mining
• Day 2: Decision Trees in Classification
• Day 3: Rule-Based Classification
• Day 4: Neural Networks in Classification
• Day 5: Support Vector Machines (SVM) in Classification

Week 4: Clustering and Association Rules in Data Mining

• Day 1: Understanding Clustering in Data Mining
• Day 2: Hierarchical Clustering
• Day 3: Density-Based Clustering
• Day 4: Introduction to Association Rule Mining
• Day 5: Apriori and FP-Growth in Association Rule Mining