Dimensionality Reduction Courses and Certifications

Coursera

Validate LLM Embeddings for Production Use

Master validation and deployment of embedding models for production semantic search systems using FAISS, UMAP, and systematic evaluation techniques.

• Coursera
• 4 hours 18 minutes
• Self-Paced
• Paid Course

Coursera

Clean, Analyze, and Visualize Your Data

Master systematic data cleaning, validation, and visualization techniques using Python and Pandera to transform complex datasets into reliable, interpretable insights for AI development.

• Coursera
• 2 hours 16 minutes
• Self-Paced
• Paid Course

EDUCBA

Logistic Regression with R: Build & Predict

Master logistic regression in R through hands-on projects in healthcare and finance, from data preprocessing to model optimization using ROC curves and confusion matrices.

• Coursera
• 8 hours 16 minutes
• Self-Paced
• Paid Course

CIMPA UCR

Multidimensional Scaling by Particle Swarm Optimization

Explora el escalamiento multidimensional mediante optimización por enjambre de partículas con el experto Javier Trejos.

• YouTube
• 1 hour 27 minutes
• Self-Paced
• Free Video

Machine Learning with Python

4 ratings

Explore machine learning basics, algorithms, and models using Python. Learn supervised and unsupervised techniques, statistical modeling, and real-world applications. Gain practical skills in classification, regression, clustering, and dimensionality red…

• Cognitive Class
• 3 hours
• Self-Paced
• Free Online Course

Clustering & Classification With Machine Learning In Python

498 ratings at Udemy

Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In Python

• Udemy
• 6 hours 4 minutes
• Self-Paced
• Paid Course

CSE 8803 Special Topics: Big Data

In this course, we introduce the characteristics of medical data and associated data mining challenges on dealing with such data. We cover various algorithms and systems.

• Udacity
• 8 hours
• Self-Paced
• Free Online Course

Python Data Science: Unsupervised Machine Learning

387 ratings at Udemy

Learn Python for data science & machine learning, and build unsupervised learning models w/ a top Python instructor!

• Udemy
• 16 hours 47 minutes
• Self-Paced
• Paid Course

Machine Learning with R

Dive into machine learning fundamentals using R. Explore supervised and unsupervised learning, statistical modeling, and various algorithms. Gain practical insights through real-life examples and societal impacts.

• Cognitive Class
• 3 hours
• Self-Paced
• Free Online Course

STAT 505: Applied Multivariate Statistical Analysis

Explore multivariate statistical methods, including t-tests, ANOVA extensions, dimension reduction, and clustering techniques. Learn to select, implement, and interpret analyses using SAS and Minitab.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

STAT 508: Applied Data Mining & Statistical Learning

Explore statistical learning and data mining methods using R, covering predictive modeling, clustering, and dimension reduction techniques for analyzing complex datasets.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

Machine Learning Using Python Programming

Master Python-based machine learning techniques from data preprocessing to deep learning, covering regression, classification, clustering, and neural networks with practical implementations.

• Swayam
• 12 weeks
• Self-Paced
• Free Online Course

Advanced Predictive Modelling in R Certification Training

Master R for data science with advanced analytics, regression, forecasting, and churn analysis. Gain expertise in imputation, dimensionality reduction, and survival analysis techniques.

• Edureka
• Self-Paced
• Paid Course

Career Certificate

Feature Engineering

Master data preprocessing techniques to transform raw data into powerful features that boost machine learning model performance through selection and dimensionality reduction.

• Codecademy
• 6 hours
• Self-Paced
• Free Trial Available

Machine Learning and Knowledge Discovery

Master machine learning fundamentals through hands-on PyTorch implementation, covering neural networks, SVMs, deep learning architectures, and practical applications in robotics, computer vision, and text analysis.

• XuetangX
• Self-Paced
• Free Online Course