Curriculum
- 1 Section
- 17 Lessons
- 10 Weeks
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- MLops Training Course17
- 1.1Supervise Machine Learning , Regression and Classifcation Problems
- 1.2Machine Learning Life Cycle updated
- 1.3Logistic Regression Part 1
- 1.4Logistic Regression Part 2 Math Foundation
- 1.5Day 2 Logistic Regression Part 3 – Churn Prediction Code Walkthrough
- 1.6IRIS Flower class prediction model manual deployment to AWS Cloud – Part 2
- 1.7Iris Flower predicion – MLOps Capstone Project Part 1
- 1.8Day 2 MLOPS Webinar Part 2 – Docker Hands-on
- 1.9How to run multiple continer in a single EC2 instance to deploy your machine Learning model ??
- 1.10Day 4 – MLOps DockerCompose Part 1
- 1.11DAY 4 : MLOPS Docker Compose Part 2
- 1.12Docker Best Practics
- 1.13Linear Regression Part 1
- 1.14Churn Prediction – Capstone Project
- 1.15House Price Prediction – Use Cases
- 1.16Random Forest (Ensembling Technique)
- 1.17Xgboost (Xtreme Gradient Boosting)
