Feature Engineering Courses and Certifications

Julia Silge

Feature Engineering & Interpretability for XGBoost with Board Game Ratings

Explore advanced modeling with board game ratings data: feature engineering, XGBoost tuning, and explainability methods for data-driven insights and predictive analysis.

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

PyCon US

Feature Engineering is for Everyone

Explore feature engineering techniques for data visualization, automation, and machine learning. Learn to create and select features from various data types using encodings, vectorization, and date manipulation.

• YouTube
• 2 hours 17 minutes
• On-Demand
• Conference Talk

Databricks

Kumo AI and Relational Deep Learning - Automating Feature Engineering

Explore Relational Deep Learning's impact on predictive modeling, fraud detection, and recommendation systems with Stanford professor Jure Leskovec.

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

React Conferences by GitNation

Visual Feature Engineering for Machine Learning with React

Explore visual feature engineering for machine learning using React and TensorFlow.js to predict soccer match outcomes, with real-time model visualization and training insights.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

Data Science Festival

Data Preprocessing and Feature Engineering for Machine Learning

Master data preprocessing and feature engineering techniques for effective machine learning. Explore imputation, encoding, transformations, and more to maximize value from your data and improve model performance.

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

Toronto Machine Learning Series (TMLS)

Feature Engineering and Modeling Techniques for Menu Design at HelloFresh

Discover how HelloFresh uses data-driven approaches to optimize menu design, predict recipe performance, and align product offerings with customer preferences and business strategies.

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

GOTO Conferences

Auto Feature Engineering - Rapid Feature Harvesting Using DFS & Data Engineering Techniques

Explore rapid feature harvesting for machine learning using Deep Feature Synthesis and data engineering techniques to accelerate model development and shorten time-to-market.

• YouTube
• 32 minutes
• On-Demand
• Conference Talk

The Machine Learning Engineer

Rapids Machine Learning Training and Feature Engineering in GPU with CuML and CuDF

Accelerate ML training and feature engineering using GPU-powered CuML and CuDF libraries for enhanced performance and efficiency.

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

The Machine Learning Engineer

Neo4J GDS - Machine Learning Feature Engineering

Explore data pre-processing and feature engineering using Neo4J's Graph Data Science Library for enhanced machine learning workflows.

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

MLOps.community

Tecton 0.6: Notebook-driven Development for Feature Engineering - MLOps Meetup

Explore Tecton 0.6's notebook-driven development for faster feature engineering in ML workflows. Learn how to streamline real-time ML systems and improve productivity with this innovative approach.

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

MLOps World: Machine Learning in Production

Essential Workshop to Exploratory Data Analysis and Feature Engineering

Explore and preprocess data, analyze correlations and distributions, engineer features, and train ML models using a Google Play Store dataset. Improve model accuracy and efficiency.

• YouTube
• 3 hours 10 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

MLOps - Feature Engineering for Tabular Data With GPU Acceleration

Master advanced feature engineering for tabular data using GPU acceleration with RAPIDS cuDF and cuML, covering target encoding, count encoding, and XGBoost vs SVM performance.

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

Presto Foundation

Scalable Feature Engineering with Tecton on Athena

Discover how to transform raw data into ML features using Tecton's integration with Athena, enabling rapid development and deployment of feature pipelines for real-time machine learning.

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

Spark Operator - Feature Engineering with Spark on Kubeflow

Discover how to transform messy real-world data into ML-ready features using Apache Spark with Kubeflow Spark Operator for processing massive datasets through open-source tools.

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

AutoML Seminars

LLMs for Automated Data Science - Introducing CAAFE for Context-Aware Automated Feature Engineering

Discover how CAAFE leverages large language models to enhance automated feature engineering in data science, improving model performance through context-aware feature generation and semantic understanding.

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