03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 DistilBERT-App.zip
235.25 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/070 FastText Research Paper Review.mp4
160.06 MB
02 Fine Tuning BERT for Disaster Tweets Classification/016 BERT Intro - Disaster Tweets Dataset Understanding.mp4
109.8 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/063 Setting Up uWSGI Server.mp4
101.74 MB
05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/057 Install TensorFlow 2 and KTRAIN.mp4
93.58 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/067 Configuring NGINX with uWSGI, and Flask Server.mp4
91.78 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/068 Congrats! You Have Deployed ML Model in Production.mp4
84.9 MB
05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/058 Create Extra RAM from SSD by Memory Swapping.mp4
83.72 MB
02 Fine Tuning BERT for Disaster Tweets Classification/019 Number of Characters Distribution in Tweets.mp4
83.53 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/079 Preparing Prediction APIs.mp4
80.76 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/081 Testing Prediction API at AWS Ubuntu Machine.mp4
77.45 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/078 Making Your Server Ready.mp4
76.49 MB
03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 What is DistilBERT_.mp4
74.05 MB
02 Fine Tuning BERT for Disaster Tweets Classification/027 Word Embeddings and Classification with Deep Learning Part 2.mp4
73.57 MB
04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/049 Deploy ML Model on EC2 Server.mp4
71 MB
03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/041 Deploy DistilBERT Model at Your Local Machine.mp4
69.47 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/072 Data Preparation.mp4
67.42 MB
04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/050 Make Your ML Model Accessible to the World.mp4
66.81 MB
04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/046 Install TensorFlow 2 and KTRAIN.mp4
66.57 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/075 Creating Fresh Ubuntu Machine.mp4
59.3 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/083 Deploy FastText Model in Production with NGINX, uWSGI, and Flask.mp4
58.62 MB
02 Fine Tuning BERT for Disaster Tweets Classification/029 BERT Model Evaluation.mp4
58.43 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/082 Configuring uWSGI Server.mp4
58.27 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/066 Start API Services at System Startup.mp4
58.14 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/061 Virtual Environment Setup.mp4
57.7 MB
01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/012 BERT Model Training.mp4
56.84 MB
03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/040 Build Predict API.mp4
56.18 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/064 Installing TensorFlow 2 and KTRAIN.mp4
56.08 MB
02 Fine Tuning BERT for Disaster Tweets Classification/028 BERT Model Building and Training.mp4
55.15 MB
03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/032 Data Preparation.mp4
54.61 MB
02 Fine Tuning BERT for Disaster Tweets Classification/025 Classification with Word2Vec and SVM.mp4
52.89 MB
02 Fine Tuning BERT for Disaster Tweets Classification/026 Word Embeddings and Classification with Deep Learning Part 1.mp4
52.87 MB
04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/044 Connect EC2 Instance from Windows 10.mp4
52.49 MB
01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/011 Train-Test Split and Preprocess with BERT.mp4
51.43 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/062 Setting Up Flask Server.mp4
50.74 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/076 Setting Python3 and PIP3 Alias.mp4
49.32 MB
04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/043 Create Free Windows EC2 Instance.mp4
47.68 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/071 Notebook Setup.mp4
45.76 MB
01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/004 What is BERT.mp4
45.28 MB
05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/055 Install PIP3 on AWS Ubuntu.mp4
44.61 MB
05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/059 Deploy DistilBERT ML Model on EC2 Ubuntu Machine.mp4
44.2 MB
02 Fine Tuning BERT for Disaster Tweets Classification/024 Classification with TFIDF and SVM.mp4
44.18 MB
02 Fine Tuning BERT for Disaster Tweets Classification/021 Most and Least Common Words.mp4
43.39 MB
01 BERT _ Sentiment Prediction _ Multi Class Prediction Problem/001 Welcome.mp4
42.59 MB
02 Fine Tuning BERT for Disaster Tweets Classification/023 Disaster Words Visualization with Word Cloud.mp4
42.16 MB
03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/033 DistilBERT Model Training.mp4
41.6 MB
02 Fine Tuning BERT for Disaster Tweets Classification/020 Number of Words, Average Words Length, and Stop words Distribution in Tweets.mp4
41 MB
05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/051 Install Git Bash and Commander Terminal on Local Computer.mp4
40.92 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/080 Testing Prediction API at Local Machine.mp4
40.22 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/073 FastText Model Training.mp4