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

1:20 Learning Agenda 2:51

1:28 Learning Agenda 2:05 Overview of

1:19 Learning Agenda 2:58 Recap of

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0:2:10 Learning Agenda 0:3:45 Stemming using NLTK's PorterStemmer 0:15:36 Lemmatization using NLTK's ...

01:12 Learning Agenda 02:32 Logistic Regression using Single Layer Perceptron (Recap) 11:54 Loss/Cost Function of Logistic ...

3:37 Learning Agenda 5:03 Overview of Feature Engineering 0:18:50 Label

01:53 Learning Agenda 03:29 Logistic Regression (What, Why and How) 06:27 Types of Logistic Regression 08:14 Linearly ...

1:08 Learning Agenda 2:26 What is Overfitting and Underfitting

2:14 Learning Agenda 2:56 Overview of Scikit-Learn Library 8:24 Download/Install Scikit-Learn 10:35 Scikit-Learn Built-in Toy ...

0:00 Introduction 1:30 Learning Agenda 2:29 Overview of Pandas Series Object 4:55 Creating a Series Object from Python List ...

2:28 Learning Agenda 3:45 A Recap of Simple Linear Regression

0:54 Learning Agenda 3:20 Limitations of Train-Test Split 13:25 Overview of K-Fold Cross Validation 19:12 Practical Example: ...

0:03:48 Learning Agenda 0:06:34 Overview of Text Classification 0:12:00 From Bayes' Theorem to Naïve Bayes' Classifier ...

0:00 Introduction 1:00 Overview of

01:46 Learning Agenda 02:32 A Recap of Naive Bayes Classifier 05:45 Overview of Sklearn's Family of Naive Bayes Classifiers ...

3:10 Learning Agenda 4:04 The Big Picture

0:00 Introduction 2:36 Learning Agenda 4:45 Meta-Characters and Escape Codes 8:05 Introduction to Interface of regex101 11:25 ...