Lec 6 9 Data Preprocessing Encoding Categorical Data Arif Butt Data Science

Summary

1:19 Learning Agenda 2:58 Recap of 01:53 Learning Agenda 03:29 Logistic Regression (What, Why and How) 06:27 Types of Logistic Regression 08:14 Linearly ... 01:12 Learning Agenda 02:32 Logistic Regression using Single Layer Perceptron (Recap) 11:54 Loss/Cost Function of Logistic ... 0:2:10 Learning Agenda 0:3:45 Stemming using NLTK's PorterStemmer 0:15:36 Lemmatization using NLTK's ... 3:37 Learning Agenda 5:03 Overview of Feature Engineering 0:18:50 Label 0:54 Learning Agenda 3:20 Limitations of Train-Test Split 13:25 Overview of K-Fold Cross Validation 19:12 Practical Example: ... 0:00 Introduction 1:30 Learning Agenda 2:29 Overview of Pandas Series Object 4:55 Creating a Series Object from Python List ... 0:00 Meet your Instructor 2:42 Lecture's Agenda 4:18 About Myself and Class Protocols 7:17 Welcome to my YouTube tutorial on Handling 01:46 Learning Agenda 02:32 A Recap of Naive Bayes Classifier 05:45 Overview of Sklearn's Family of Naive Bayes Classifiers ... 0:03:48 Learning Agenda 0:06:34 Overview of Text Classification 0:12:00 From Bayes' Theorem to Naïve Bayes' Classifier ... 3:10 Learning Agenda 4:04 The Big Picture 0:00 Introduction 2:36 Learning Agenda email: