Source Of Summary:

Handout2 Data Preprocessing.pdf

Feature Extraction & Distance Metrics 🎓

1. Introduction 🎓✨

1.1. Lecture Overview

• Title: Feature Extraction & Distance Metrics
• Focus: Data preprocessing, feature extraction, and various similarity/distance measures

1.2. Key Topics Covered

• Data Preparation & Processing Tasks
• Handling Missing, Duplicate, Inconsistent, and Noisy Data
• Normalization Techniques & Feature Extraction
• Various Distance & Dissimilarity Measures
• Correlation Analysis and Practical Case Studies
• Lambda Calculus’ influence on programming (with Python examples)

2. Data Preparation & Processing 🚀📊

2.1. Data Preparation Steps

• Data Collection
• Data Preprocessing: Normalization, missing values, & noise removal