1 Introduction to NLP | Natural Language Processing with Python and NLTK
2 NLTK - Introduction | Natural Language Processing with Python and NLTK
3 Structured vs Unstructured data | Natural Language Processing with Python and NLTK
4 Reading Text Data | Natural Language Processing with Python and NLTK
5 Exploring the data | Natural Language Processing with Python and NLTK
6 NLP Pipeline for Text data | Natural Language Processing with Python and NLTK
7 Removing Punctuation | Pre-processing | Natural Language Processing with Python and NLTK
8 Tokenization | Natural Language Processing with Python and NLTK
9 Removing stop words | Natural Language Processing with Python and NLTK
10 Stemming | Natural Language Processing with Python and NLTK
11 Porter Stemmer in Python | Natural Language Processing with Python and NLTK
12 Lemmatization in Python | Natural Language Processing with Python and NLTK
13 WordNet Lemmatizer in NLTK python | Natural Language Processing with Python and NLTK
14 Vectorization in Python | Natural Language Processing with Python and NLTK
15 Count Vectorization in Python | CountVectorizer | Natural Language Processing with Python and NLTK
16 N-Grams Natural Language Processing | N-Gram NLP | Natural Language Processing with Python and NLTK
17 TF-IDF Vectorizer Python | Natural Language Processing with Python and NLTK
18 Feature Engineering | Natural Language Processing with Python and NLTK
19 Feature Engineering - Feature Creation | Natural Language Processing with Python and NLTK
20 Feature Evaluation | Natural Language Processing with Python and NLTK
21 Power Transformations | Box-Cox Transformation | Tukey Transformation
22 Evaluation Metrics: Accuracy, Precision and Recall | NLP NLTK