Feature Selection Courses and Certifications

Whizlabs

Data Engineering in AWS

13 ratings at Coursera

Learn data engineering techniques for AWS, including data gathering, handling missing data, feature extraction, and selection using PCA and variance thresholds. Gain hands-on experience with SageMaker and AWS migration tools.

• Coursera
• 5 hours 11 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Clustering and Classification with Machine Learning in R

Master R for data analysis: from preprocessing to advanced machine learning algorithms. Gain practical skills in clustering, classification, and dimension reduction using real-world datasets and popular R packages.

• Coursera
• 11 hours 27 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

Nvidia

Mastering Recommender Systems

3 reviews

Explore top strategies for building effective e-commerce recommendation systems, featuring insights from Kaggle Grandmasters on candidate generation, reranking, and model ensembling techniques.

• YouTube
• 47 minutes
• On-Demand
• Free Online Course

CART - Classification and Regression Trees

Explore decision and regression trees, from basic concepts to advanced techniques like feature selection, missing data handling, and pruning. Includes practical Python implementation.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Online Course

NPTEL;  IISc Bangalore

Pattern Recognition

This course provides a fairly comprehensive view of the fundamentals of pattern classification and regression. Topics covered in the lectures include an overview of pattern classification and regression; Bayesian decision making and Bayes classifier

• YouTube
• 1 day 5 hours
• On-Demand
• Free Online 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

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
• On-Demand
• Free Trial Available

Preparing Data for Machine Learning

45 ratings at Pluralsight

Learn essential techniques for data preparation, cleaning, and feature selection to optimize machine learning models. Explore strategies for handling missing data, outliers, and overfitting to improve model performance.

• Pluralsight
• 3-4 hours
• On-Demand
• Free Trial Available

Reducing Dimensions in Data with scikit-learn

19 ratings at Pluralsight

Learn powerful dimensionality reduction techniques in scikit-learn to optimize ML models, reduce overfitting, speed up training, and improve visualization. Covers feature selection, PCA, LDA, and manifold learning methods.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Preprocessing for Machine Learning in Python

15 ratings at DataCamp

Learn how to clean and prepare your data for machine learning!

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Reducing Complexity in Data

16 ratings at Pluralsight

This course covers several techniques used to optimally simplify data used in supervised machine learning applications ranging from relatively simple feature selection techniques to very complex applications of clustering using deep neural networks.

• Pluralsight
• 3-4 hours
• On-Demand
• Free Trial Available

Dimensionality Reduction in Python

11 ratings at DataCamp

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Great Learning

LDA Application in Entertainment Industry

Explore Linear Discriminant Analysis application in entertainment, covering key concepts, data analysis, and practical implementation using Jupyter Notebook for feature selection and classification.

• YouTube
• 52 minutes
• On-Demand
• Free Online Course

R Tutorials

Comprehensive R tutorials covering bioinformatics, statistics, and data visualization. Learn to analyze gene expression, perform regression, create plots, and conduct survival analysis using R programming.

• YouTube
• 2 hours 30 minutes
• On-Demand
• Free Online Course