Advanced Data Analytics Using Python_ With Machine Learning, Deep Learning and NLP Examples ( 2023)

Table of Contents
Naive Bayes Classifier61
Support Vector Machine62
Nearest Neighbor Classifier64
Sentiment Analysis65
Image Recognition67
Regression with Python67
Least Square Estimation68
Logistic Regression69
Classification and Regression70
Intentionally Bias the Model to Over-Fit or Under-Fit71
Dealing with Categorical Data73
Chapter 4: Unsupervised Learning: Clustering77
K-Means Clustering78
Choosing K: The Elbow Method82
Distance or Similarity Measure82
Properties82
General and Euclidean Distance83
Squared Euclidean Distance84
Distance Between String-Edit Distance85
Similarity in the Context of Document87
Types of Similarity87
What Is Hierarchical Clustering?88
Bottom-Up Approach89
Distance Between Clusters90
Top-Down Approach92
Graph Theoretical Approach97
How Do You Know If the Clustering Result Is Good?97
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