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DevOps to MLOps Bootcamp - Build & Deploy ML Systems End-to-End

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File Name
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/src/api/utils.py
0 B
Chapter 8 GitOps Based Deployments for ML LLM Apps/007. End-to-End CI and CD Pipelines for ML App.mp4
109 MB
Chapter 1 Introduction to MLOps/002. What is MLOps.en.srt
34 kB
Chapter 1 Introduction to MLOps/002. What is MLOps.mp4
74 MB
Chapter 1 Introduction to MLOps/003. Story of Evolution of MLOps, LLMOps and AgenticAIOps.en.srt
26 kB
Chapter 1 Introduction to MLOps/003. Story of Evolution of MLOps, LLMOps and AgenticAIOps.mp4
89 MB
Chapter 1 Introduction to MLOps/004. Comparing Three Approaches to AI.en.srt
37 kB
Chapter 1 Introduction to MLOps/004. Comparing Three Approaches to AI.mp4
92 MB
Chapter 1 Introduction to MLOps/005. MLOps Case Studies Learning from the Pioneers.en.srt
19 kB
Chapter 1 Introduction to MLOps/005. MLOps Case Studies Learning from the Pioneers.mp4
50 MB
Chapter 1 Introduction to MLOps/006. Comparing DevOps vs MLOps.en.srt
36 kB
Chapter 1 Introduction to MLOps/006. Comparing DevOps vs MLOps.mp4
75 MB
Chapter 1 Introduction to MLOps/007. Emergence of MLOps Engineer.en.srt
24 kB
Chapter 1 Introduction to MLOps/007. Emergence of MLOps Engineer.mp4
57 MB
Chapter 2 Getting Started with the Use Case and Environment Setup/001. Module Intro.en.srt
5.2 kB
Chapter 2 Getting Started with the Use Case and Environment Setup/001. Module Intro.mp4
36 MB
Chapter 2 Getting Started with the Use Case and Environment Setup/002. Use Case House Price Predictor Regression.en.srt
11 kB
Chapter 2 Getting Started with the Use Case and Environment Setup/002. Use Case House Price Predictor Regression.mp4
15 MB
Chapter 2 Getting Started with the Use Case and Environment Setup/003. Understanding End to End ML Practices and MLOps.en.srt
33 kB
Chapter 2 Getting Started with the Use Case and Environment Setup/003. Understanding End to End ML Practices and MLOps.mp4
42 MB
Chapter 2 Getting Started with the Use Case and Environment Setup/004. Environment Setup Overview.en.srt
14 kB
Chapter 2 Getting Started with the Use Case and Environment Setup/004. Environment Setup Overview.mp4
30 MB
Chapter 2 Getting Started with the Use Case and Environment Setup/005. Setting up Docker Podman with Compose.en.srt
7.1 kB
Chapter 2 Getting Started with the Use Case and Environment Setup/005. Setting up Docker Podman with Compose.mp4
17 MB
Chapter 2 Getting Started with the Use Case and Environment Setup/006. Launching MLflow for Experiment Tracking.en.srt
12 kB
Chapter 2 Getting Started with the Use Case and Environment Setup/006. Launching MLflow for Experiment Tracking.mp4
28 MB
Chapter 2 Getting Started with the Use Case and Environment Setup/007. Understanding the Project Directory and Scaffold.en.srt
12 kB
Chapter 2 Getting Started with the Use Case and Environment Setup/007. Understanding the Project Directory and Scaffold.mp4
32 MB
Chapter 2 Getting Started with the Use Case and Environment Setup/008. Setting up Python Virtual Environment with UV.en.srt
9.0 kB
Chapter 2 Getting Started with the Use Case and Environment Setup/008. Setting up Python Virtual Environment with UV.mp4
22 MB
Chapter 2 Getting Started with the Use Case and Environment Setup/009. Working with Jupyter Notebooks.en.srt
9.9 kB
Chapter 2 Getting Started with the Use Case and Environment Setup/009. Working with Jupyter Notebooks.mp4
32 MB
Chapter 2 Getting Started with the Use Case and Environment Setup/010. Summary.en.srt
6.3 kB
Chapter 2 Getting Started with the Use Case and Environment Setup/010. Summary.mp4
40 MB
Chapter 3 From Raw Data to Models/001. Module Intro.en.srt
5.6 kB
Chapter 3 From Raw Data to Models/001. Module Intro.mp4
34 MB
Chapter 3 From Raw Data to Models/002. Learning Data Engineering.en.srt
20 kB
Chapter 3 From Raw Data to Models/002. Learning Data Engineering.mp4
54 MB
Chapter 3 From Raw Data to Models/003. Experimental Data Analysis.en.srt
13 kB
Chapter 3 From Raw Data to Models/003. Experimental Data Analysis.mp4
36 MB
Chapter 3 From Raw Data to Models/004. Understanding Feature Engineering Concepts.en.srt
9.0 kB
Chapter 3 From Raw Data to Models/004. Understanding Feature Engineering Concepts.mp4
13 MB
Chapter 3 From Raw Data to Models/005. Building New Features for House Price Predictor.en.srt
7.6 kB
Chapter 3 From Raw Data to Models/005. Building New Features for House Price Predictor.mp4
28 MB
Chapter 3 From Raw Data to Models/006. Preparing for Model Experimentation.en.srt
9.3 kB
Chapter 3 From Raw Data to Models/006. Preparing for Model Experimentation.mp4
27 MB
Chapter 3 From Raw Data to Models/007. Data Splitting with x train, y train, x test, y test.en.srt
7.0 kB
Chapter 3 From Raw Data to Models/007. Data Splitting with x train, y train, x test, y test.mp4
26 MB
Chapter 3 From Raw Data to Models/008. Defining Algorithms and Hyperparameter Grids.en.srt
8.7 kB
Chapter 3 From Raw Data to Models/008. Defining Algorithms and Hyperparameter Grids.mp4
26 MB
Chapter 3 From Raw Data to Models/009. Running Model Experiments to Find the Best Model and Hyperparameters.en.srt
14 kB
Chapter 3 From Raw Data to Models/009. Running Model Experiments to Find the Best Model and Hyperparameters.mp4
47 MB
Chapter 3 From Raw Data to Models/010. Module Summary.en.srt
5.2 kB
Chapter 3 From Raw Data to Models/010. Module Summary.mp4
37 MB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/001. Module Intro.en.srt
5.0 kB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/001. Module Intro.mp4
34 MB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/002. Handover from Data Scientist to ML Engineer MLOps.en.srt
9.9 kB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/002. Handover from Data Scientist to ML Engineer MLOps.mp4
13 MB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/003. Running Feature Engineering and Preprocessing Jobs.en.srt
7.0 kB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/003. Running Feature Engineering and Preprocessing Jobs.mp4
22 MB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/004. Building and Training Final Model with Configs from Da.mp4
24 MB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/004. Building and Training Final Model with Configs from Data Scientists.en.srt
8.9 kB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/005. Wrapping the Model with FastAPI with Streamlit Client .mp4
35 MB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/005. Wrapping the Model with FastAPI with Streamlit Client Apps.en.srt
10 kB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/006. Writing Dockerfile to Package Model with FastAPI Wrapp.mp4
59 MB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/006. Writing Dockerfile to Package Model with FastAPI Wrapper.en.srt
27 kB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/007. Debugging and Fixing Image Failures, Launch and Valida.mp4
46 MB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/007. Debugging and Fixing Image Failures, Launch and Validate FastAPI.en.srt
16 kB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/008. Packaging and Testing Streamlit App.en.srt
14 kB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/008. Packaging and Testing Streamlit App.mp4
34 MB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/009. Packaging and Model Serving Infra with Docker Compose.en.srt
22 kB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/009. Packaging and Model Serving Infra with Docker Compose.mp4
51 MB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/010. Summary.en.srt
7.1 kB
Chapter 4 Packaging Model along with FastAPI Wrapper and Streamlit with Containers/010. Summary.mp4
46 MB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/001. Module Intro.en.srt
4.5 kB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/001. Module Intro.mp4
30 MB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/002. DAGs, GitHub Actions and our MLOps CI Workflow.en.srt
21 kB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/002. DAGs, GitHub Actions and our MLOps CI Workflow.mp4
28 MB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/003. Understanding GitHub Actions Syntax.en.srt
12 kB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/003. Understanding GitHub Actions Syntax.mp4
26 MB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/004. Writing and Executing Our First GitHub Actions Workflow.en.srt
20 kB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/004. Writing and Executing Our First GitHub Actions Workflow.mp4
56 MB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/005. Adding Data and Feature Engineering Steps with Model Training.en.srt
6.9 kB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/005. Adding Data and Feature Engineering Steps with Model Training.mp4
27 MB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/006. Model Training Step with MLFlow for Tracking.en.srt
9.1 kB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/006. Model Training Step with MLFlow for Tracking.mp4
37 MB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/007. Adding Image Build and Publish Step with Docker.en.srt
8.6 kB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/007. Adding Image Build and Publish Step with Docker.mp4
25 MB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/008. Configuring Registry Token and Publishing Image to DockerHub.en.srt
10 kB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/008. Configuring Registry Token and Publishing Image to DockerHub.mp4
31 MB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/009. Modular, Multi-Stage MLOps CI Workflow Pipeline.en.srt
22 kB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/009. Modular, Multi-Stage MLOps CI Workflow Pipeline.mp4
68 MB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/010. Summary.en.srt
3.8 kB
Chapter 5 Setting up MLOps CI Workflow with GitHub Actions/010. Summary.mp4
28 MB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/001. Module Intro.en.srt
3.0 kB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/001. Module Intro.mp4
18 MB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/002. Designing Scalable Infrastructure for Model Inference.en.srt
7.3 kB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/002. Designing Scalable Infrastructure for Model Inference.mp4
9.1 MB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/003. Introduction to Kubernetes for Machine Learning.en.srt
17 kB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/003. Introduction to Kubernetes for Machine Learning.mp4
22 MB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/004. Kubernetes Core Concepts Pods, Deployments and Services.en.srt
15 kB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/004. Kubernetes Core Concepts Pods, Deployments and Services.mp4
19 MB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/005. Simplest Way to Build a 3 Node Kubernetes Cluster with KIND.en.srt
16 kB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/005. Simplest Way to Build a 3 Node Kubernetes Cluster with KIND.mp4
33 MB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/006. Deploying Streamlit Frontend App with Kubernetes.en.srt
19 kB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/006. Deploying Streamlit Frontend App with Kubernetes.mp4
45 MB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/007. Exposing the Streamlit App with Kubernetes NodePort Service.en.srt
9.9 kB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/007. Exposing the Streamlit App with Kubernetes NodePort Service.mp4
23 MB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/008. Creating Deployment & Service for the Model Wrapped in FastAPI.en.srt
9.8 kB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/008. Creating Deployment & Service for the Model Wrapped in FastAPI.mp4
23 MB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/009. Connecting Streamlit with Model using Kubernetes Native DNS Bas.mp4
45 MB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/009. Connecting Streamlit with Model using Kubernetes Native DNS Based Service Discovery.en.srt
16 kB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/010. Easy Way to Generate Kubernetes Manifests and YAML.en.srt
9.9 kB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/010. Easy Way to Generate Kubernetes Manifests and YAML.mp4
16 MB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/011. Summary.en.srt
3.0 kB
Chapter 6 Building Scalable Prod Inference Infrastructure with Kubernetes/011. Summary.mp4
15 MB
Chapter 7 Monitoring and Autoscaling an ML Model/001. Module Intro.en.srt
2.3 kB
Chapter 7 Monitoring and Autoscaling an ML Model/001. Module Intro.mp4
12 MB
Chapter 7 Monitoring and Autoscaling an ML Model/002. Project Spec.en.srt
4.0 kB
Chapter 7 Monitoring and Autoscaling an ML Model/002. Project Spec.mp4
3.8 MB
Chapter 7 Monitoring and Autoscaling an ML Model/003. Installing Prometheus and Grafana with Helm.en.srt
9.8 kB
Chapter 7 Monitoring and Autoscaling an ML Model/003. Installing Prometheus and Grafana with Helm.mp4
28 MB
Chapter 7 Monitoring and Autoscaling an ML Model/004. Exploring Monitoring Metrics with Grafana and Prometheus.en.srt
13 kB
Chapter 7 Monitoring and Autoscaling an ML Model/004. Exploring Monitoring Metrics with Grafana and Prometheus.mp4
32 MB
Chapter 7 Monitoring and Autoscaling an ML Model/005. Adding Instrumentation for FastAPI along with Custom Dashboard.en.srt
17 kB
Chapter 7 Monitoring and Autoscaling an ML Model/005. Adding Instrumentation for FastAPI along with Custom Dashboard.mp4
46 MB
Chapter 7 Monitoring and Autoscaling an ML Model/006. Automatic Capacity Scaling Concepts.en.srt
6.0 kB
Chapter 7 Monitoring and Autoscaling an ML Model/006. Automatic Capacity Scaling Concepts.mp4
16 MB
Chapter 7 Monitoring and Autoscaling an ML Model/007. Installing KEDA and Configuring Resource Spec.en.srt
7.8 kB
Chapter 7 Monitoring and Autoscaling an ML Model/007. Installing KEDA and Configuring Resource Spec.mp4
22 MB
Chapter 7 Monitoring and Autoscaling an ML Model/008. Configuring Scaled Objects with KEDA.en.srt
11 kB
Chapter 7 Monitoring and Autoscaling an ML Model/008. Configuring Scaled Objects with KEDA.mp4
30 MB
Chapter 7 Monitoring and Autoscaling an ML Model/009. Getting Started with Load Testing Model Inference.en.srt
10 kB
Chapter 7 Monitoring and Autoscaling an ML Model/009. Getting Started with Load Testing Model Inference.mp4
30 MB
Chapter 7 Monitoring and Autoscaling an ML Model/010. AI Based Troubleshooting Monitoring with ChatGPT.en.srt
13 kB
Chapter 7 Monitoring and Autoscaling an ML Model/010. AI Based Troubleshooting Monitoring with ChatGPT.mp4
41 MB
Chapter 7 Monitoring and Autoscaling an ML Model/011. Running Load Test and Analyzing Autoscaling.en.srt
13 kB
Chapter 7 Monitoring and Autoscaling an ML Model/011. Running Load Test and Analyzing Autoscaling.mp4
36 MB
Chapter 7 Monitoring and Autoscaling an ML Model/012. CPU Based Auto Scaling with KEDA.en.srt
15 kB
Chapter 7 Monitoring and Autoscaling an ML Model/012. CPU Based Auto Scaling with KEDA.mp4
37 MB
Chapter 7 Monitoring and Autoscaling an ML Model/013. Adding a Vertical Pod Autoscaler (VPA).en.srt
16 kB
Chapter 7 Monitoring and Autoscaling an ML Model/013. Adding a Vertical Pod Autoscaler (VPA).mp4
45 MB
Chapter 7 Monitoring and Autoscaling an ML Model/014. Summary.en.srt
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Chapter 7 Monitoring and Autoscaling an ML Model/014. Summary.mp4
19 MB
Chapter 8 GitOps Based Deployments for ML LLM Apps/001. Module Intro.en.srt
992 B
Chapter 8 GitOps Based Deployments for ML LLM Apps/001. Module Intro.mp4
5.8 MB
Chapter 8 GitOps Based Deployments for ML LLM Apps/002. GitOps Concepts.en.srt
7.6 kB
Chapter 8 GitOps Based Deployments for ML LLM Apps/002. GitOps Concepts.mp4
10 MB
Chapter 8 GitOps Based Deployments for ML LLM Apps/003. GitOps Principle 2 - Start Revision Controlling the Code.en.srt
9.4 kB
Chapter 8 GitOps Based Deployments for ML LLM Apps/003. GitOps Principle 2 - Start Revision Controlling the Code.mp4
21 MB
Chapter 8 GitOps Based Deployments for ML LLM Apps/004. GitOps Principle 4 - Setup an Agent - ArgoCD.en.srt
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Chapter 8 GitOps Based Deployments for ML LLM Apps/004. GitOps Principle 4 - Setup an Agent - ArgoCD.mp4
19 MB
Chapter 8 GitOps Based Deployments for ML LLM Apps/005. Overview of Argo Application CRD.en.srt
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Chapter 8 GitOps Based Deployments for ML LLM Apps/005. Overview of Argo Application CRD.mp4
20 MB
Chapter 8 GitOps Based Deployments for ML LLM Apps/006. Continuous Delivery with ArgoCD Applications.en.srt
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Chapter 8 GitOps Based Deployments for ML LLM Apps/006. Continuous Delivery with ArgoCD Applications.mp4
48 MB
Chapter 8 GitOps Based Deployments for ML LLM Apps/007. End-to-End CI and CD Pipelines for ML App.en.srt
33 kB
Chapter 1 Introduction to MLOps/001. Course Introduction.mp4
54 MB
Chapter 8 GitOps Based Deployments for ML LLM Apps/008. Summary.en.srt
4.9 kB
Chapter 8 GitOps Based Deployments for ML LLM Apps/008. Summary.mp4
26 MB
z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/LICENSE
1.0 kB
z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/README.md
160 B
z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S01 - Introduction to MLOps/M101v2-What-is-MLOps.pdf
2.4 MB
z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S01 - Introduction to MLOps/M102-Story-of-AI-Infrastructure-Ops.pdf
4.3 MB
z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S01 - Introduction to MLOps/M103-Understanding-ML-LLM-Agentic-AI.pdf
3.5 MB
z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S01 - Introduction to MLOps/M104-Case-Studies.pdf
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S01 - Introduction to MLOps/M105-The-Emergence-of-the-MLOps-Engineer.pdf
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S01 - Introduction to MLOps/M106-MLOps-vs-DevOps-Understanding-the-Evolution.pdf
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S01 - Introduction to MLOps/S01 - Useful Resource Links.txt
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/Git Repository for the Course.txt
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/.gitignore
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/LICENSE
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/README.md
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/requirements.txt
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/data/processed/README.md
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/data/raw/house_data.csv
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/deployment/kubernetes/deployment.yaml
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/deployment/mlflow/docker-compose.yaml
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/models/trained/README.md
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/notebooks/00_data_engineering.ipynb
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/notebooks/01_exploratory_data_analysis.ipynb
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/notebooks/02_feature_engineering.ipynb
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/notebooks/03_experimentation.ipynb
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/src/api/inference.py
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/src/api/main.py
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/src/api/README.md
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/src/api/requirements.txt
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/src/api/schemas.py
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Chapter 1 Introduction to MLOps/001. Course Introduction.en.srt
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/src/data/run_processing.py
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/src/features/engineer.py
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/src/models/train_model.py
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/streamlit_app/app.py
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/streamlit_app/README.md
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/streamlit_app/requirements.txt
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S02 - Use Case and Environment Setup/house-price-predictor-main/streamlit_app/.streamlit/config.toml
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S03 - From Data to Models - Understanding Data Science with Feature Engineering and Experimentation/S03 - Useful Resource Links.txt
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S05 - Setup MLOps CLI Workflow with GitHub Actions/mlops-pipeline.yaml
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S05 - Setup MLOps CLI Workflow with GitHub Actions/S05 - Useful Resource Links.txt
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S07 - Monitoring and Autoscaling an ML Model/Lab 8 - Setting up Model Monitoring.pdf
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z.DevOps-to-MLOps-Bootcamp-Build-Deploy-ML-Systems-End-to-End-main/S07 - Monitoring and Autoscaling an ML Model/Lab 9 - Autoscaling Models.pdf
181 kB