Feature Engineering Courses and Certifications

Feature Engineering

1794 ratings at Coursera

Explore feature engineering techniques to enhance ML model accuracy using Vertex AI, BigQuery ML, Keras, and TensorFlow. Learn data preprocessing, feature creation, and advanced practices.

• Coursera
• 8 hours 25 minutes
• On-Demand
• Paid Course

AI Workflow: Feature Engineering and Bias Detection

77 ratings at Coursera

Learn feature engineering, bias detection, and unsupervised learning techniques for AI workflows. Gain skills in handling class imbalances, dimension reduction, and data visualization for effective pattern recognition and data mining.

• Coursera
• 12 hours 16 minutes
• On-Demand
• Paid Course

The Machine Learning Engineer

MLOps - Feature Engineering for Tabular Data With GPU Acceleration

Discover advanced feature engineering techniques for tabular data using GPU acceleration with RAPIDS cuDF and cuML, comparing CPU vs GPU performance with XGBoost and SVMs.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Data Science Dojo

Cosine Similarity - Introduction to Text Analytics with R

Explore cosine similarity in text analytics: its mathematical basis, application in document comparison, and effectiveness in feature engineering for R-based text analysis.

• YouTube
• 32 minutes
• On-Demand
• Free Video

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

Feature Engineering

Better features make better models. Discover how to get the most out of your data.

• Kaggle
• 5 hours
• On-Demand
• Free Certificate

Data Science Dojo

Automating Supervised Machine Learning Pipeline Development

Explore methodologies for automating supervised machine learning pipelines, covering data cleaning, feature engineering, and model development. Gain insights from experienced data scientists on best practices and techniques.

• YouTube
• 59 minutes
• On-Demand
• Free Video

Python for Machine Learning & Data Science Masterclass

18499 ratings at Udemy

Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!

• Udemy
• 1 day 20 hours 4 minutes
• On-Demand
• Paid Course

Prodramp

Technical Overview of Machine Learning Life Cycle

Comprehensive technical overview of the machine learning lifecycle, covering data preparation, model training, deployment, and inference. Ideal for AI engineers seeking in-depth understanding of ML processes.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Open Data Science

Hopsworks - The Python-Centric Enterprise Feature Store

Explore Hopsworks feature store for Python-centric ML operations, covering feature engineering, pipelines, and real-time serving with an end-to-end use case demonstration.

• YouTube
• 55 minutes
• On-Demand
• Free Video

MLOps.community

AI Innovations: The Power of Feature Platforms - MLOps Mini Summit

Explore feature platforms for production AI, including Tecton's unified approach, Cleo's custom solution, and DIY strategies for building scalable, flexible ML infrastructures.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Anyscale

Pioneering a Next-Gen AI Platform with Ray at eBay

Dive into eBay's AI platform transformation, exploring Ray's impact on batch inference, feature engineering, distributed training, and comprehensive AI solutions. Gain insights on challenges, solutions, and lessons learned.

• YouTube
• 32 minutes
• On-Demand
• Free Video

SQLBits

Navigating the Skies of Data: A Flight Through Feature Stores

Explore Feature Stores' role in streamlining ML projects, acting as a control tower for efficient feature management in data processes.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Data Science Conference

The Key to Unlock AI Accuracy Through Feature Generation

Discover how sophisticated feature generation acts as the cornerstone for developing accurate and effective AI models, illustrated through real-world examples from DeepMind and global corporate implementations.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Large-Scale Lexicalized Discriminative Training for Machine Translation Made Successful

Discover advanced techniques for large-scale lexicalized discriminative training in machine translation systems and their successful implementation strategies.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video