This course was created with the
course builder. Create your online course today.
Start now
Create your course
with
Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Complete NLP Training Basic to Advance level
NLP Training
Session 1 - 4th Sept-Difference between NLP and nlu | sentiment analysis | implementation of textblob | polarity | subjectivity | objectivity (109:15)
Session 1 - Summary
Session 2 - 5th Sept-Implementation on dataset | data handling with pandas | textblob implementation on data (82:44)
Session 2 - Summary
Session 3 - 6th Sept-Tokenization | lemmatization | stemming | implementation of nltk (103:26)
Session 3 - Summary
Session 4 - 7th Sept-nltk installation | WordNet | Spacy | Automatic Conversion from uppercase to lowercase (113:47)
Session 4 - Summary
Session 5 - 11th Sept - Revision Session (101:52)
Session 6 - 12th Sept-NLU |introduction of spacy |token ID|read token|mapping| (101:52)
Session 7 - 18th Sept-NER | Spacy using rule based matching |Phrase Matcher |Hosting on Local Ip (95:57)
Session 8 - 19th Sept-Pipeline | Tokenizer |Analyze pipe using Spacy| add pipe |@language (95:46)
Session 9 - 20th Sept-Spacy Usage | Creating And Adding Custom Attributes| Register Token Extension (95:46)
Session 10 - 22nd Sept - Practice Session (49:17)
Session 11 - 28th Sept-use case of text classification|stemming or lemma| (96:10)
Session 12 - 4th Oct-text classification|TF-IDF|classification model| (102:38)
Extra Session
Visualization | Exploratory data analysis | One hot label encoding | Nan | Binary class | logistic regression | confusion matrix (118:54)
Activation function | DL | Regression | Classification | Feed forward Forward Propogation | Back propagation | Keras (123:47)
Binary Classification | Model using sigmoid function | Logistic regression | visuals, searborn | graph | bar graph | Discrete variable | frequency distribution table | One hot encoding | Feature Engineering | Missing value resolving using feature engineering | Imputation (267:58)
Session 12 - 4th Oct-text classification|TF-IDF|classification model|
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock