Hyperparameter Tuning Courses and Certifications

Machine Learning in the Tidyverse

13 ratings at DataCamp

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

• DataCamp
• 5 hours
• On-Demand
• Free Trial Available

Machine Learning with scikit-learn

14 ratings at DataCamp

Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Hyperparameter Tuning in Python

12 ratings at DataCamp

Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Packt

Deep Learning with Keras and Practical Applications

Master deep learning with Keras: from wine quality prediction to advanced image classification using CNNs, transfer learning, and GPU acceleration. Optimize models, implement data augmentation, and deploy in real-world scenarios.

• Coursera
• 9 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Foundations and Core Concepts of PyTorch

Master PyTorch fundamentals: from setup to advanced modeling. Build neural networks, optimize performance, and apply deep learning techniques to real-world problems using hands-on exercises and practical implementations.

• Coursera
• 6 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Mastering Image Segmentation with PyTorch

Explore image segmentation with PyTorch, from basics to advanced techniques. Learn CNNs, semantic segmentation, and tackle real-world projects to master this crucial aspect of computer vision.

• Coursera
• 6 hours 14 minutes
• On-Demand
• Free Online Course (Audit)

Mastering Deep Learning

Comprehensive exploration of Artificial Neural Networks and Convolutional Neural Networks, covering fundamental principles, applications, and practical implementation in diverse domains.

• Swayam
• 6 weeks
• On-Demand
• Free Online Course

Neural Network Programming - Deep Learning with PyTorch

1 review

Learn to build and train neural networks using PyTorch, covering tensor operations, CNN architecture, data preparation, training loops, and performance optimization techniques for deep learning projects.

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

Gradient Boost

Explore the fundamentals and advanced concepts of Gradient Boost for regression and classification in machine learning.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Tabular Data

Learn machine learning techniques for tabular data, including model evaluation, feature engineering, tree-based models, hyperparameter tuning, and neural networks using AWS SageMaker.

• YouTube
• 4 hours 30 minutes
• On-Demand
• Free Video

Artificial Intelligence Foundations: Neural Networks

647 ratings at LinkedIn Learning

Learn the fundamental techniques and principles behind artificial neural networks.

• LinkedIn Learning
• 1 hour 45 minutes
• On-Demand
• Free Trial Available

Deep Learning: Model Optimization and Tuning

208 ratings at LinkedIn Learning

Learn about various optimization and tuning options available for deep learning models and use them to improve models.

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

Exam Tips: Designing and Implementing a Data Science Solution on Azure (DP-100)

169 ratings at LinkedIn Learning

Discover tips and practical study strategies in preparation for the Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure certification exam.

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

TensorFlow: Working with Images

87 ratings at LinkedIn Learning

Learn the ins and outs of working with images in TensorFlow 2.0

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

Learn to build, train, and test neural networks using TensorFlow and Keras. Covers deep learning fundamentals, regression models, and hyperparameter tuning for practical applications.

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