End To End Deep Learning Project Using MLOPS DVC Pipeline With Deployments Azure And AWS- Krish Naik

Krish Naik · Beginner ·📐 ML Fundamentals ·2y ago
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 github: https://github.com/krishnaik06/Chicken-Disease-Classification-Projects Support me by joining membership so that I can upload these kind of videos https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join --------------------------------------------------------------------------------------------------------- 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) 1. Data Science Masters Hindi: http://bit.ly/3TPdrDz (Hindi) 2. Data Science Masters English: https://bit.ly/40gZ9hn (English) 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 ------------------------
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 36 Complete Life Cycle of a Data Science Project
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Chapters (24)

Introduction
2:00 Project Introduction
6:56 Prerequisite
8:14 Problem Statement (Chicken Disease)
9:52 Project Demo
12:11 Github Repository Setup
14:56 Project Template Creation
39:43 Requirements Installation & Project Setup
49:32 Logging, Exception & Utils Modules
1:08:27 Project Workflows
1:10:57 Data Ingestion Notebook Experiment
1:28:10 Data Ingestion Final Implementation
1:40:59 Prepare Base Model Notebook Experiment
1:51:52 Prepare Base Model Final Implementation
1:59:05 Prepare Callbacks Notebook Experiment
2:06:27 Prepare Callbacks Final Implementation
2:09:27 Model Trainer Notebook Experiment
2:17:43 Model Trainer Final Implementation
2:26:09 Model Evaluation Notebook Experiment
2:30:00 Model Evaluation Final Implementation
2:36:02 Writing DVC file for tracking piplines
2:51:25 Prediction Pipeline & User App
3:01:09 Project CI/CD Deployment on AWS
3:31:00 Project CI/CD Deployment on Azure
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