Hyperparameter Tuning Courses and Certifications

Full-Stack Deep Learning with Python

47 ratings at LinkedIn Learning

Increase your knowledge and get a hands-on understanding of full-stack deep learning with Python.

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

Experimental Design for Data Analysis

35 ratings at Pluralsight

This course covers conceptual and practical aspects of building and evaluating machine learning models in a way that uses data judiciously, while also accounting for considerations such as ordering and relationships within data and other biases.

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

Building End-to-end Machine Learning Workflows with Kubeflow

27 ratings at Pluralsight

In this course, you will learn how to effectively build end-to-end scalable, production grade machine learning workflows using Kubeflow.

• Pluralsight
• 3 hours 31 minutes
• On-Demand
• Free Trial Available

Building Clustering Models with scikit-learn

28 ratings at Pluralsight

This course covers several important techniques used to implement clustering in scikit-learn, including the K-means, mean-shift and DBScan clustering algorithms, as well as the role of hyperparameter tuning, and performing clustering on image data.

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

Applied Machine Learning: Foundations

24 ratings at LinkedIn Learning

Develop foundational skills and technical know-how for dealing with real-world problems using the Python ecosystem.

• LinkedIn Learning
• 2 hours 17 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

Developing Models in Microsoft Azure

15 ratings at Pluralsight

It's common to spend a lot of resources on identifying an optimal machine learning model. In this course, you will learn how to simplify this process using various cutting edge features offered by Microsoft Azure Machine Learning service.

• Pluralsight
• 1-2 hours
• On-Demand
• Free Trial Available

Building Machine Learning Models on Databricks

10 ratings at Pluralsight

This course will teach you how you can build and train your traditional machine learning models using the Databricks Machine Learning runtime and MLflow to manage the end-to-end machine learning lifecycle.

• Pluralsight
• 2 hours 21 minutes
• On-Demand
• Free Trial Available

Image Understanding with TensorFlow on GCP

Learn to build and optimize image classifiers using convolutional neural networks, with hands-on practice in TensorFlow on various public datasets.

• Pluralsight
• 4-5 hours
• On-Demand
• Free Trial Available

Architecting Production-ready ML Models Using Google Cloud ML Engine

This course covers Cloud ML Engine, a powerful service that supports distributed training and evaluation for models built in TensorFlow, Scikit-learn and XGBoost.

• Pluralsight
• 2 hours 12 minutes
• On-Demand
• Free Trial Available

Build and operate machine learning solutions with Azure Machine Learning

Build and operate machine learning solutions with Azure Machine Learning

• Microsoft Learn
• 10-11 hours
• On-Demand
• Free Online Course

Data Professor

Python Data Science Project

Learn Python for data science through hands-on projects covering machine learning, web scraping, exploratory data analysis, and computational drug discovery. Gain practical skills using popular libraries and tools.

• YouTube
• 5 hours
• On-Demand
• Free Video

Machine Learning in the Enterprise

This course encompasses a real-world practical approach to the ML Workflow: a case study approach that presents an ML team faced with several ML business requirements and use cases.

• Pluralsight
• 2 hours 13 minutes
• On-Demand
• Free Trial Available

Aladdin Persson

Complete TensorBoard Guide

Comprehensive guide to TensorBoard features including loss plots, image visualization, confusion matrices, hyperparameter tuning, embedding projections, and TensorFlow profiler for model optimization and analysis.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

Nicholas Renotte

Build a Street Fighter AI Model with Python - Gaming Reinforcement Learning Full Course

Learn to create an AI model for Street Fighter using Python, covering setup, preprocessing, hyperparameter tuning, and model fine-tuning. Gain hands-on experience in gaming reinforcement learning.

• YouTube
• 2 hours 41 minutes
• On-Demand
• Free Video