Dimensionality Reduction Courses and Certifications

UofU Data Science

Principal Component Analysis - Dimensionality Reduction and SVD - L15

Master dimensionality reduction through dot-products, orthogonal projections, SVD, and Principal Component Analysis techniques for optimal data representation.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

DigitalSreeni

Principal Component Analysis (PCA) - Mastering Dimensionality Reduction and Visualization

Master PCA for dimensionality reduction with complete Python implementation, from mathematical foundations to 3D visualization using breast cancer classification case study.

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

BIMSA

Fast Algorithms for Fusing Phylogenetic Trees into Networks via Dimensionality Reduction

Discover fast algorithms for fusing phylogenetic trees into networks using dimensionality reduction techniques in computational biology.

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

UofU Data Science

Dimensionality Reduction: Principal Component Analysis and Multidimensional Scaling - Lecture 21

Master dimensionality reduction techniques through Principal Component Analysis (PCA) and Multidimensional Scaling (MDS), exploring their applications in data analysis and visualization.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

Intro to Unsupervised Machine Learning

Master unsupervised machine learning through hands-on practice with clustering, dimensionality reduction, and advanced algorithms using the Iris dataset for practical data analysis applications.

• CodeSignal
• 5 hours
• On-Demand
• Free Certificate

Unsupervised Learning and Clustering

Master unsupervised learning algorithms from scratch, including k-Means, PCA, and DBSCAN. Build clustering implementations, visualize results, and evaluate performance using essential metrics.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Navigating Data Simplification with PCA

Master dimensionality reduction techniques using Principal Component Analysis (PCA) with Python's Scikit-learn, from basic concepts to practical implementation in machine learning projects.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Microcredential

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
• On-Demand
• Free Certificate
• 3 courses

Feature Selection, Reduction and Streamlining

Master techniques to identify impactful features, reduce dimensionality, and streamline datasets for enhanced model efficiency and performance by focusing on the most relevant data attributes.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Navigating Data Simplification with PCA

Master dimensionality reduction techniques using Principal Component Analysis in R, from understanding eigenvectors to implementing PCA for feature extraction and classification tasks.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Unsupervised Learning and Clustering

Master unsupervised learning by building k-Means, mini-batch k-Means, PCA, and DBSCAN from scratch. Assess cluster quality using key metrics like homogeneity and completeness.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Linear Algebra for Data Science: Practical Applications with Python

Jump in this 20 Hours course to master essential linear algebra techniques for turning raw data into actionable insights using Python and to elevate your analytical and computational skills to attain proficiency in high-impact data solutions with real-wo…

• OpenLearning
• 20 hours
• On-Demand
• Paid Course

Feature Engineering for Text Classification

1 review

Master text classification techniques through hands-on practice with tokenization, Bag-of-Words, TF-IDF, sparse matrices, and dimensionality reduction for effective natural language processing applications.

• CodeSignal
• 5 hours
• On-Demand
• Free Certificate

Natural Language Processing with Classification and Vector Spaces

4633 ratings at Coursera

This is the Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 9 hours 23 minutes
• On-Demand
• Paid Course

Machine Learning for Data Analysis: Unsupervised Learning

1562 ratings at Udemy

Machine Learning made simple with Excel! Unsupervised learning topics for advanced data analysis & business intelligence

• Udemy
• 2 hours
• On-Demand
• Paid Course