Feature Selection Courses and Certifications

Marketing Analytics: Predicting Customer Churn in Python

Learn how to use Python to analyze customer churn and build a model to predict it.

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

Dimensionality Reduction in R

Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

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

Demystifying Decision Science

Solidify your decision science skills by designing data-informed frameworks and implementing efficient solutions.

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

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

The Cyber Academy

Feature Selection in the Corrected KDD Dataset

Explore feature selection techniques for the Corrected KDD dataset with Dr. Zargari, enhancing understanding of information security and data analysis in cybersecurity applications.

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

Inside Livermore Lab

Simultaneous Feature Selection and Outlier Detection Using Mixed-Integer Programming

Explore mixed-integer programming for simultaneous feature selection and outlier detection in high-dimensional regressions, with applications to biomedical research and microbiome studies.

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

IIIA Hub

Feature Selection and Clustering with a Quantum Annealer - QuantumCLEF 2024

Dive into quantum annealing techniques for feature selection and clustering through hands-on demonstrations and practical implementations for advanced data analysis tasks.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Introduction to Supervised Machine Learning

Master supervised machine learning through hands-on wine quality prediction, implementing linear and logistic regression models while exploring feature analysis, gradient descent, and model evaluation techniques.

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

Feature Engineering for Machine Learning

Master feature engineering techniques using the Abalone Dataset to improve ML model performance through extraction, selection, and transformation methods for uncovering meaningful patterns in data.

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

Data Preprocessing for Predictive Modeling

Master data preprocessing techniques for predictive modeling, covering missing values, outliers, feature selection, and normalization using the California Housing Dataset as a practical example.

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

Linear Landscapes of Dimensionality Reduction

Master dimensionality reduction techniques through Linear Discriminant Analysis (LDA), comparing it with PCA while implementing practical Python solutions for improved feature selection and model performance.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Credential

Mastering Dimensionality Reduction with Python

Master Python-based dimensionality reduction techniques from PCA to autoencoders, learning to extract essential features from complex datasets and optimize machine learning model performance through hands-on practice.

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

Data Cleaning and Validation for Machine Learning with Python

Master data integrity, anomaly detection, and feature selection techniques to prepare clean, reliable datasets for machine learning models using Python tools.

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

Credential

Feature Engineering for Beginners

Explore foundational to advanced feature engineering techniques, selection methods, and transformations to enhance data quality and optimize model performance.

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

Linear Landscapes of Dimensionality Reduction

Discover Linear Discriminant Analysis techniques for dimensionality reduction and feature selection through hands-on R programming exercises with real datasets.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate