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End To End Deep Learning Project Using MLOPS DVC Pipeline With Deployments Azure And AWS- Krish Naik
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In this video we will be implementing an end to end Deep LEarning project using MLops tools such as DVC along with the deploymeny using giithub action in both azure and aws cloud
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▬▬▬▬▬ Contents of this video ▬▬▬▬▬
00:00:00 - Introduction
00:02:00 - Project Introduction
00:06:56 - Prerequisite
00:08:14 - Problem Statement (Chicken Disease)
00:09:52 - Project Demo
00:12:11 - Github Repository Setup
00:14:56 - Project Template Creation
00:39:43 - Requirements Installation & Project Setup
00:49:32 - Logging, Exception & Utils Modules
01:08:27 - Project Workflows
01:10:57 - Data Ingestion Notebook Experiment
01:28:10 - Data Ingestion Final Implementation
01:40:59 - Prepare Base Model Notebook Experiment
01:51:52 - Prepare Base Model Final Implementation
01:59:05 - Prepare Callbacks Notebook Experiment
02:06:27 - Prepare Callbacks Final Implementation
02:09:27 - Model Trainer Notebook Experiment
02:17:43 - Model Trainer Final Implementation
02:26:09 - Model Evaluation Notebook Experiment
02:30:00 - Model Evaluation Final Implementation
02:36:02 - Writing DVC file for tracking piplines
02:51:25 - Prediction Pipeline & User App
03:01:09 - Project CI/CD Deployment on AWS
03:31:00 - Project CI/CD Deployment on Azure
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►Data Science Projects:
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Support me by joining membership so that I can upload these kind of videos
---------------------------------------------------------------------------------------------------------
Join the PWSKILLS Data Science Masters Course
Best Affordable Data Science Course From Pwskills(6-7 Months)
Impact Batch 2.0:- Data-Science-Masters (Full Stack Data Science)
Direct call to our team in case of any queries
+9186600 34247
+919880055539
+918147625763
+918660034247
+918951939425
▬▬▬▬▬ Contents of this video ▬▬▬▬▬
00:00:00 - Introduction
00:02:00 - Project Introduction
00:06:56 - Prerequisite
00:08:14 - Problem Statement (Chicken Disease)
00:09:52 - Project Demo
00:12:11 - Github Repository Setup
00:14:56 - Project Template Creation
00:39:43 - Requirements Installation & Project Setup
00:49:32 - Logging, Exception & Utils Modules
01:08:27 - Project Workflows
01:10:57 - Data Ingestion Notebook Experiment
01:28:10 - Data Ingestion Final Implementation
01:40:59 - Prepare Base Model Notebook Experiment
01:51:52 - Prepare Base Model Final Implementation
01:59:05 - Prepare Callbacks Notebook Experiment
02:06:27 - Prepare Callbacks Final Implementation
02:09:27 - Model Trainer Notebook Experiment
02:17:43 - Model Trainer Final Implementation
02:26:09 - Model Evaluation Notebook Experiment
02:30:00 - Model Evaluation Final Implementation
02:36:02 - Writing DVC file for tracking piplines
02:51:25 - Prediction Pipeline & User App
03:01:09 - Project CI/CD Deployment on AWS
03:31:00 - Project CI/CD Deployment on Azure
--------------------------------------------------------------------------------------------------------
►Data Science Projects:
►Learn In One Tutorials
►Learn In a Week Playlist
►Detailed Playlist:
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