Model Evaluation Courses and Certifications

Executive Guide to AutoML

24 ratings at LinkedIn Learning

Learn about AutoML, the opportunities and challenges that arise in attempting to automate machine learning, and how this automation affects your organization.

• LinkedIn Learning
• 1 hour 1 minute
• On-Demand
• Free Trial Available

Applied Classification with XGBoost

19 ratings at Pluralsight

Using Jupyter notebook demos, you'll experience preliminary exploratory data analysis. You will create a classification model with XGBoost. Using third-party libraries, you will explore feature interactions, and explaining the models.

• Pluralsight
• 2 hours 3 minutes
• On-Demand
• Free Trial Available

Modeling with AWS Machine Learning

19 ratings at Pluralsight

Along with good working experience and knowledge of how to train and evaluate models, you need to have a good understanding of all the ML algorithms provided by AWS. This course will teach you the use cases of built-in algorithms provided by AWS.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Evaluating RAG Solutions

16 ratings at Pluralsight

Discover Retrieval Augmented Generation (RAG) for Developers. This course will teach you how to evaluate and implement RAG solutions to enhance the accuracy, efficiency, and relevance of information retrieval in AI applications.

• Pluralsight
• 20 minutes
• On-Demand
• Free Trial Available

Applied Machine Learning: Feature Engineering

14 ratings at LinkedIn Learning

Extract the maximum value from your data using feature engineering. Learn how to clean, normalize, and create features to improve the performance of your machine learning models.

• LinkedIn Learning
• 1 hour 42 minutes
• On-Demand
• Free Trial Available

Executive Guide to Deploying, Monitoring, and Maintaining Models

10 ratings at LinkedIn Learning

Explore the MLOps portion of deploying, monitoring, and maintaining models for ML projects.

• LinkedIn Learning
• 58 minutes
• On-Demand
• Free Trial Available

Data Science with Python: Foundations of Machine Learning

10 ratings at Pluralsight

Machine learning is one of the hottest fields in the world today. This course will teach you how to get started solving business problems using Python.

• Pluralsight
• 40 minutes
• On-Demand
• Free Trial Available

Learn to create neural networks for data classification using TensorFlow, covering activation functions, model evaluation, and practical implementation.

• Codecademy
• 2 hours
• On-Demand
• Free Trial Available

Learn to build and evaluate neural network classification models using PyTorch, covering data preparation, binary and multiclass designs, and performance metrics for real-world applications.

• Codecademy
• 1 hour
• On-Demand
• Free Trial Available

Evaluating and Debugging Generative AI

1 rating at LinkedIn Learning

Learn the tools needed to evaluate and debug large language models and other types of generative AI models.

• LinkedIn Learning
• 1 hour 12 minutes
• On-Demand
• Free Trial Available

Exploring Java Machine Learning Environments

There are an increasing number of tools for Machine Learning in Java. This course will teach you how to choose the appropriate tool for your machine learning task, as well as how to get started with the tool and how to use it.

• Pluralsight
• 1 hour 36 minutes
• On-Demand
• Free Trial Available

Evaluating Model Effectiveness in Microsoft Azure

This course is intended for data science practitioners who work with Azure Machine Learning Service and who seek to improve their ML model accuracy, efficiency, and explainability.

• Pluralsight
• On-Demand
• Free Trial Available

The Machine Learning Process

This course will walk you through the major stages of a typical ML pipeline, including problem framing, data cleaning, data visualization and analysis, functional engineering, and model training and evaluation.

• Pluralsight
• On-Demand
• Free Trial Available

Evaluating a Data Mining Model

This course covers the important techniques in model evaluation for some of the most popular types of data mining techniques. These techniques range from association rules learning to clustering, regression, and classification.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

TensorFlow for Computer Vision - Full Tutorial for Beginners

Comprehensive hands-on tutorial for building computer vision projects using TensorFlow 2 and Python, covering image classification, dataset preparation, and practical implementation techniques.

• freeCodeCamp
• 4-5 hours
• On-Demand
• Free Video