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)]
Screenshot

NitroFlare

https://nitroflare.com/view/EB76514AAA67A0C/
https://nitroflare.com/view/BF3502333561AFE/
https://nitroflare.com/view/2D5554CD3BA1D43/
https://nitroflare.com/view/FE256EE7B150FB5/
https://nitroflare.com/view/5E814AE3A02CE1E/
https://nitroflare.com/view/EE5B379E8CFCAB2/
https://nitroflare.com/view/98333806F35ECFA/
https://nitroflare.com/view/36E52FD37BCABC1/
https://nitroflare.com/view/7FA02D29A1C3DA8/
https://nitroflare.com/view/D623496B4DF5C4F/