Feature Selection Courses and Certifications

Dimensionality Reduction with Feature Selection

Master advanced feature selection techniques to optimize machine learning models through variance analysis, univariate selection, mutual information, and recursive elimination methods.

• CodeSignal
• On-Demand
• Free Certificate

NPTEL-NOC IITM

Feature Selection and Variable Selection Techniques

Explore techniques for selecting optimal variables in data analysis, including best subset, forward, and backward selection methods.

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

Data Science Festival

Feature Selection for Machine Learning

Explore feature selection methods for machine learning, including filter, wrapper, and embedded approaches. Learn to choose the most predictive variables for production-ready models.

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

MathWorks

Predictive Modeling and Machine Learning with MATLAB

81 reviews

Learn to build, evaluate, and optimize regression and classification models using MATLAB. Apply supervised machine learning workflows to real-world datasets and improve model performance through feature selection and hyperparameter tuning.

• Coursera
• 18 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Brown University;  Georgia Tech

Machine Learning: Unsupervised Learning

3 reviews

Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!

• Udacity
• 4 weeks
• On-Demand
• Free Online Course

Microcredential

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
• On-Demand
• Free Certificate
• 5 courses

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Certificate

Data Analytics Foundations for Accountancy II

10 ratings at Coursera

Explore machine learning concepts, algorithms, and practical applications in data analytics using Python. Gain skills in classification, regression, clustering, and anomaly detection for business insights.

• Coursera
• 2 days 22 hours 11 minutes
• On-Demand
• Free Online Course (Audit)

Data Science : Complete Data Science & Machine Learning

3257 ratings at Udemy

Learn and master the Data Science, Python for Machine Learning, Math for Machine Learning, Statistics for Data Science

• Udemy
• 1 day 1 hour 49 minutes
• On-Demand
• Paid Course

Machine Learning- From Basics to Advanced

2259 ratings at Udemy

A beginners guide to learn Machine Learning (including Hands-on projects - From Basic to Advance Level)

• Udemy
• 6 hours 49 minutes
• On-Demand
• Paid Course

Feature Selection for Machine Learning

2215 ratings at Udemy

Learn filter, wrapper, and embedded methods, recursive feature elimination, exhaustive search, feature shuffling & more.

• Udemy
• 5 hours 50 minutes
• On-Demand
• Paid Course

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
• On-Demand
• Free Trial Available