Feature Engineering Courses and Certifications

Time Series with data.table in R

Master time series data manipulation using data.table in R. Learn efficient techniques for handling large datasets, performing feature engineering, and building statistical models with financial data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Natural Language Processing in Python

Learn how to transcribe, and extract exciting insights from books, review sites, and online articles with Natural Language Processing (NLP) in Python.

• DataCamp
• 20 hours
• Self-Paced
• Free Trial Available

Credential

Journey into Machine Learning with Sklearn and Tensorflow

425 ratings at CodeSignal

Dive into machine learning fundamentals through advanced deep learning, mastering data preprocessing, model optimization, and neural networks using real-world datasets with Sklearn and Tensorflow frameworks.

• CodeSignal
• 16 hours
• Self-Paced
• Free Certificate
• 5 courses

Great Learning

Feature Engineering

Learn to optimize machine learning models through feature engineering techniques, from basic concepts to practical Python demonstrations, enhancing your data science skills.

• YouTube
• 1 hour 27 minutes
• Self-Paced
• Free Video

Databricks

Scaling Machine Learning Feature Engineering in Apache Spark at Facebook

Explore advanced techniques for scaling ML feature engineering in Apache Spark, including Feature Injection and Feature Reaping, with optimizations for improved performance and efficiency at Facebook's scale.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Databricks

Scaling Data and ML with Apache Spark and Feast - Feature Engineering for Production

Explore scaling data and ML with Apache Spark and Feast, focusing on feature engineering challenges and solutions for big data-driven machine learning in production environments.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Databricks

AutoML Toolkit Deep Dive - Automating Feature Engineering and Model Optimization

Explore Databricks Labs' AutoML Toolkit for automating feature engineering, model selection, tuning, and deployment. Learn to accelerate machine learning workflows and enhance productivity.

• YouTube
• 1 hour
• Self-Paced
• Free Video

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
• Self-Paced
• Free Video

Strange Loop Conference

Zipline - A Declarative Feature Engineering Library

Explore Zipline, Airbnb's declarative feature engineering library for ML, reducing data preparation time from months to days and enabling efficient point-in-time correct feature generation.

• YouTube
• 34 minutes
• Self-Paced
• Conference Talk

Jeff Heaton

Multi-Variate Feature Engineering Presentation for Machine Learning

Learn advanced feature engineering techniques for machine learning, including feature importance, target coding, neural networks, and embedding layers to improve model performance and extrapolation.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Krish Naik

Step-by-Step Machine Learning Project Implementation: EDA, Feature Engineering, Selection, and Model Training

Comprehensive guide to implementing a machine learning project, covering data cleaning, EDA, feature engineering, selection, model training, and hyperparameter tuning.

• YouTube
• 1 hour 26 minutes
• Self-Paced
• Free Video

Data Science Dojo

Feature Engineering - Introduction to Dplyr Part 4

Learn advanced dplyr techniques for feature engineering, including imputing missing values, creating new columns, and combining datasets. Master data manipulation skills to enhance your R programming toolkit.

• YouTube
• 28 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Python for Machine Learning & Data Science Masterclass

18574 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
• Self-Paced
• Paid Course