Feature Engineering Courses and Certifications

Modeling with tidymodels in R

182 ratings at DataCamp

Tidymodels is a powerful suite of R packages designed to streamline machine learning workflows.

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

Loan Default Prediction with Machine Learning

69 ratings at Corporate Finance Institute

Combine a data set with basic Machine Learning skills to predict which customers are likely to default on their loans

• Corporate Finance Institute
• 3 hours 56 minutes
• Self-Paced
• Paid Course

Data Prep for Machine Learning in Python

4 ratings at Corporate Finance Institute

Learn all the essential skills to prep your data in Python, from data cleaning and imputation to EDA, feature selection, and feature engineering

• Corporate Finance Institute
• 3 hours 27 minutes
• Self-Paced
• Paid Course

Applying AI to EHR Data

2 ratings at Udacity

Apply machine learning to electronic health record data, from code mapping and feature engineering to interpreting models for bias and uncertainty.

• Udacity
• 14 hours
• Self-Paced
• Paid Course

Big Data with PySpark

Advance your data skills by mastering Apache Spark.

• DataCamp
• 1 day 1 hour
• Self-Paced
• Free Trial Available

Time Series with data.table in R

Wrangle time series in R with data.table: convert common time series formats, modify by reference, build lags, differences and windowed aggregations, then model LME metal prices.

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

Preparing for Data Analysis

Prepare historical stock-price data for machine learning by combining feature engineering, exploratory analysis, and visualization with Pandas, matplotlib, and Plotly.

• Udacity
• 17 hours
• Self-Paced
• Paid Course

Machine Learning Operations (MLOps) with Vertex AI: Manage Features

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

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

Career Certificate

Journey into Machine Learning with Sklearn and Tensorflow

479 ratings at CodeSignal

Progress from machine learning fundamentals with scikit-learn to neural networks and deep learning with TensorFlow.

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

Krish Naik

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

A hands-on machine learning project follows data from cleaning and exploratory analysis through feature 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

Use dplyr and base R to impute missing values, derive new values from existing columns, and combine datasets.

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

PyCon US

Feature Engineering is for Everyone

Learn to create and select features for visualizations and rule-based automations as well as machine learning models.

• YouTube
• 2 hours 17 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video