Machine Learning A-Z™: AI, Python and MLOps

سرفصل های دوره

Learn Data Science through a comprehensive course curriculum encompassing essential topics like statistics etc.

1. Introduction to Machine Learning and MLOps

1. Introduction to the course

2. Foundational basics of Classical Machine learning from scratch

1. Deep Dive into Logistic Regression

2. Basics of Natural Language Processing

3. Text Preprocessing for word embedding

3. Assumptions and Analysis of Regression Models

1. Linear Regression - Analysis of Amazon Fine Food Reviews

4. Tree Based Classification and Regression Models & Methods

1. Decision Tree

2. Ensembles Models- Random Forest

5. Unsupervised Learning Models - K Means

1. K Mean Algorithm

6. Introduction to MLOps & Deep Dive into Production Strategies

1. Introduction to Machine learning Operations

2. Continuous Integration and Continuous Deployment (CICD) and Version controlling

3. The application of DevOps principles in data science

4. Examining the Different Types of Containers with an examples

5. Monitoring and managing containers in a production environment with an example

6. Optimize resource usage and efficient deployment and scaling of applications

7. Flight Fare Prediction Accurate and Timely Estimates for Affordable Travel

1. Building Blocks of Regression Techniques

2. Introduction of Data & Analytics

3. Applying MLops for Flask Application

235,000 تومان

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تولید کننده: Udemy-Training