10.23 GB | 1h 13min 41s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Why NLP and how its different from Normal ML.mp4 (21.43 MB)
3 Understanding Human Language.mp4 (20.9 MB)
5 Challenges of NLP.mp4 (36.66 MB)
7 Summary.mp4 (5.07 MB)
10 Hands On Spacy.mp4 (95.57 MB)
11 Summary.mp4 (6.64 MB)
2 NLP Pipeline.mp4 (72.26 MB)
3 Data Extraction and Text Cleaning hands On.mp4 (185.96 MB)
4 Introduction to NLTK library.mp4 (38.18 MB)
5 Tokenization , bigrams, trigrams, and N gram - Hands on.mp4 (18.52 MB)
6 POS Tagging & Stop Words Removal.mp4 (51.78 MB)
7 Stemming & Lemmatization.mp4 (84.04 MB)
8 NER and Wordsense Disambiguation.mp4 (90.06 MB)
9 Introduction to Spacy Library.mp4 (32.16 MB)
PNLP S02V02 bookscraper.zip (349 B)
2 Vector Representation of Text - One Hot Encoding.mp4 (93.21 MB)
3 Understanding BoW Technique.mp4 (62.25 MB)
4 BoW Hands On.mp4 (94.57 MB)
5 TF-IDF.mp4 (97.1 MB)
6 TF-IDF Hands On.mp4 (133.36 MB)
7 Tf-idf from Scratch Implementation.mp4 (71.27 MB)
10 Practical Difference between CBOW and Skip-gram.mp4 (33.6 MB)
11 Bonus How does a Network is trained - Back-propagation.mp4 (112.56 MB)
12 Section Summary.mp4 (3.86 MB)
2 Introduction to Word Embeddings.mp4 (77.37 MB)
3 Intuition of Vector Representation.mp4 (98.21 MB)
4 Hands On Word Embeddings - Usage of Pre-trained models.mp4 (188.39 MB)
5 Skip-gram Word Embeddings - Understanding Data Preperation.mp4 (44.21 MB)
6 Skip Gram Model Architecture.mp4 (93.33 MB)
7 Skip Gram Hands On - Deep Dive.mp4 (223.81 MB)
8 CBOW Model Architecture & Hands On.mp4 (47.18 MB)
9 Hyperparameters - Negative Sampling and Sub Sampling.mp4 (133.05 MB)
10 Challenges of NLP & N-grams.mp4 (62.77 MB)
2 General Pipeline for Classification.mp4 (71.74 MB)
3 Approaches to Classification.mp4 (62.25 MB)
4 Loading the Dataset.mp4 (35.77 MB)
5 Exploratory Data Analysis & Text Preprocessing.mp4 (75.93 MB)
6 Remove Low Frequency Words.mp4 (47.1 MB)
7 Remove Stop Words with Stemming & Lemmatisation.mp4 (73.32 MB)
8 Application of Model.mp4 (73.59 MB)
9 TfIDF Approach.mp4 (31.59 MB)
1 Introduction to NER.mp4 (61.62 MB)
2 Understanding CRF - Introduction.mp4 (48.38 MB)
10 Create Dialogflow chatbot.mp4 (200.72 MB)
11 Dialogflow Fulfilment.mp4 (53.19 MB)
12 Dialogflow IntegrationsDeployment.mp4 (32.58 MB)
13 Dialogflow Miscellaneous Tools.mp4 (54.81 MB)
2 Understanding Chatbots.mp4 (43.95 MB)
3 Building a Simple Chatbot.mp4 (27.95 MB)
4 Hands On Building a Simple FAQ Chatbot.mp4 (90.7 MB)
5 Types of Chatbot and Pipeline for Chatbot.mp4 (37.82 MB)
6 Terminologies in Chatbot.mp4 (21.54 MB)
7 Dialog flow - Introduction.mp4 (61.05 MB)
8 Basics of Dialogflow.mp4 (142.08 MB)
9 Dialogflow system setup.mp4 (122.5 MB)
learn-agent-fulfilment.zip (635 B)
learn-agent.zip (622 B)
2 Deep Dive into the components of Dialog System.mp4 (37.31 MB)
3 Dialog Intent Prediction.mp4 (9.56 MB)
4 Deep Learning based intent Classification.mp4 (180.72 MB)
10 Working with Action File - Demo.mp4 (185.19 MB)
11 Building Custom Action File.mp4 (93.33 MB)
12 Test the Action Server.mp4 (83.2 MB)
13 RASA Pipeline file.mp4 (123.98 MB)
14 RASA Deployment - Integration with RASA Chatbot - Pre-requisites.mp4 (18.36 MB)
15 Run Ngork on RASA Chatbot with Actions.mp4 (41.79 MB)
16 Slack Settings for Connection to RASA Chatbot.mp4 (119.64 MB)
17 Practice Project Concert Chatbot & Summary.mp4 (40.73 MB)
2 Introduction to RASA Chatbot.mp4 (28.46 MB)
3 Installation of RASA.mp4 (109.72 MB)
4 RASA project Structure.mp4 (81.42 MB)
5 RASA Files.mp4 (44.99 MB)
6 Basics of YAML.mp4 (89.82 MB)
7 Building the chatbot - Add intents and Response.mp4 (148.3 MB)
8 Building the chatbot - Extract Entity & working with Slots.mp4 (185.57 MB)
9 Create API Key from NyTimes.mp4 (52.81 MB)
2 Text Summarization - Introduction.mp4 (10.37 MB)
3 Hands On Text Summarization.mp4 (128.89 MB)
2 Importance of Social Media Platforms.mp4 (15.67 MB)
3 Setting Up Twitter Developer Account.mp4 (22.21 MB)
4 Introduction to Tweepy.mp4 (99.7 MB)
5 Hands On Implementation of Project.mp4 (186.43 MB)
1 NLP Transformers - Introduction.mp4 (45.69 MB)
2 Feed Forward Neural Network and Challenges.mp4 (152.41 MB)
3 RNN - Recurrent Neural Networks.mp4 (146.11 MB)
4 LSTM - Long Short Term Memory Networks.mp4 (70.91 MB)
5 Attention Mechanism - Attention is all you Need.mp4 (127.91 MB)
6 Transfer Learning.mp4 (68.02 MB)
7 Transformer Architecture Overview.mp4 (38.43 MB)
8 Deep Dive into Attention Layers.mp4 (546.82 MB)
9 Additional Video on Transformers.mp4 (41.17 MB)
2 Introduction to Hugging Face Library.mp4 (40.29 MB)
3 Working with Hugging Face Library Pipeline.mp4 (144.98 MB)
4 Text Classification with HuggingFace Transformers - Data Loading.mp4 (171.78 MB)
5 Tokenization using Huggingface.mp4 (117.04 MB)
6 Tokenization on Dataset.mp4 (74.95 MB)
7 Text Classification with Feature Extraction.mp4 (181.65 MB)
8 Finetuning on Transformers.mp4 (58.68 MB)
1 Working with ChatGPT-3.mp4 (116.78 MB)
1 Working of BERT Language Model.mp4 (192.91 MB)
1 Introducing Prompt Engineering and Generative AI ChatGPT.mp4 (683.33 MB)
1 Installation of Anaconda.mp4 (44.73 MB)
3 Machine Learning Model Deployment Model Prep.mp4 (84.18 MB)
4 Deploy as Flask App.mp4 (94.87 MB)
5 StreamLit Deployment.mp4 (123.93 MB)
7 Introducing MLOps.mp4 (29.71 MB)
8 Bonus Introduction to Enterprise MLOps.mp4 (792.41 MB)]
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