Feature Selection Courses and Certifications

Data Cleaning and Validation for Machine Learning with Python

Prepare machine-learning data in Python by validating quality, detecting anomalies and drift, and selecting features before model training.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Mastering Dimensionality Reduction with Python

Learn to simplify high-dimensional data in Python using linear, nonlinear, autoencoder, and feature-selection techniques to improve model efficiency.

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

Career Certificate

Feature Engineering for Beginners

Learn foundational feature engineering techniques, including feature transformation, selection, and reduction, to improve data quality and machine learning model performance.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate
• 3 courses

Career Certificate

Mastering Dimensionality Reduction with R

Learn to use PCA, nonlinear methods, autoencoders, and feature selection in R to simplify complex data for efficient, interpretable machine learning.

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

Choosing Inputs and Reading Results Responsibly

Learn to distinguish prediction from grouping, screen inputs for leakage and proxies, interpret confidence scores, and weigh false alarms against missed cases with Fresh-Case Check and Two-Mistake Trade-off.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Creating Features for Time Series Data

Create time series features with binning, smoothing, and transformations, apply distance measures, run spectral and singular spectrum analysis, and detect motifs in sequences.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

EDUCBA

Linear Regression with R: Build & Optimize

Build simple and multiple linear regression models in R: encode dummy variables, interpret regression equations, test model accuracy on new data, and optimize with backward elimination.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Statistical Thinking & Predictive Modeling

Move from exploratory analysis to deployed models: run t-tests and confidence intervals, build cross-validated random forests, handle class imbalance with SMOTE, and predict customer lifetime value.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Build Predictive & Supervised Models

Build cross-validated random forest models to business accuracy targets, monitor model drift with statistical metrics, standardize pipelines across supervised algorithms, and assess feature selection methods.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course

EDUCBA

Logistic Regression with SAS: Build & Evaluate Models

Build logistic regression models in SAS with PROC LOGISTIC: handle missing values, encode categoricals, cluster and select predictors, and evaluate with confusion matrices and logit plots.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Packt

Data Science - Supervised Machine Learning in Python

Apply supervised machine learning theory in Python through hands-on work with real datasets, model tuning, and deployment as web services.

• Coursera
• 8 weeks, 1 hour a week
• Self-Paced
• Paid Course

Krish Naik

EvalML AutoML Library to Automate Feature Engineering, Feature Selection, Model Creation and Tuning

Use EvalML to automate feature engineering, feature selection, machine learning pipeline construction, model tuning, and evaluation.

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

PiXimperfect

Select Body Parts Feature in Photoshop - Object Selection Tool Tutorial

Master Photoshop Beta's new "Select People" feature to quickly isolate body parts, skin, hair, and clothing with one-click precision, enhancing your photo editing workflow and retouching capabilities.

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

dekeNow

Adobe Finally Fixed Selection - Photoshop's New Selection Feature and Essential Settings

Discover Adobe's revolutionary selection improvements and the crucial setting change needed to unlock this game-changing feature for enhanced workflow efficiency.

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

Build and improve a machine-learning model that predicts NFL game winners and use feature importance to identify the statistics driving its predictions.

• Codecademy
• 1 hour
• Self-Paced
• Free Trial Available