Classification Courses and Certifications

AWS Certified Machine Learning – Specialty

17 ratings at Udemy

Learn all the skills you need to leverage Amazon's powerful platform for your predictive analytics needs.

• Udemy
• 1-2 hours
• On-Demand
• Paid Course

Deep Learning Fundamentals

18 ratings at Udemy

Explore artificial neural networks, convolutional and recurrent networks for image, time-series, and text analysis. Gain hands-on experience with Keras and Python in this beginner-friendly introduction to deep learning.

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

CertNexus

Build Decision Trees, SVMs, and Artificial Neural Networks

13 ratings at Coursera

Learn to build decision trees, SVMs, and neural networks for machine learning and deep learning. Gain practical skills in constructing models to solve regression, classification, computer vision, and natural language processing problems.

• Coursera
• 21 hours 54 minutes
• On-Demand
• Free Online Course (Audit)

MathWorks

Data Science Companion

11 ratings at Coursera

Gain foundational knowledge in data science, machine learning, data processing, and cloud computing. Learn practical skills using low-code solutions and integrate multiple tools for effective problem-solving.

• Coursera
• 1 hour 52 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)

Packt

Advanced Machine Learning and Deep Learning

Master advanced machine learning and deep learning techniques, from neural networks to CNNs and RNNs. Apply knowledge through hands-on labs, covering regression, classification, and specialized topics like autoencoders and transfer learning.

• Coursera
• 7 hours 7 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Intermediate Data Manipulation and Machine Learning

Explore AI fundamentals, regression analysis, model preparation, classification techniques, and advanced machine learning concepts through interactive labs and real-world applications.

• Coursera
• 13 hours 1 minute
• On-Demand
• Free Online Course (Audit)

Packt

Machine Learning: Random Forest with Python from Scratch©

Master Python and Random Forest algorithm for machine learning. Build predictive models, handle data, and optimize performance through hands-on projects and real-world applications.

• Coursera
• 10 hours 13 minutes
• On-Demand
• Free Online Course (Audit)

H2O.ai

DataPrep for H2O Driverless AI

Master data preparation techniques for machine learning using H2O's Driverless AI, covering tabular formats, time series analysis, and automated preprocessing for both supervised and unsupervised learning scenarios.

• Coursera
• 1 hour 9 minutes
• On-Demand
• Free Online Course (Audit)

Corporate Finance Institute

Classification - Fundamentals & Practical Applications

Master classification algorithms from logistic regression to SVM, implementing them in Excel and Python while learning to evaluate model performance and interpret results for business decision-making.

• Coursera
• 2 hours 58 minutes
• On-Demand
• Free Online Course (Audit)

Corporate Finance Institute

Data Science & Machine Learning Fundamentals

Master data science fundamentals through real-world business applications, from regression and classification to feature engineering. Gain practical insights for implementing data-driven decision making in your organization.

• Coursera
• 5 hours 45 minutes
• On-Demand
• Free Online Course (Audit)

Corporate Finance Institute Microcredential

Practical Data Science for Data Analysts

Master Python programming and machine learning techniques for financial data analysis, from data preparation to predictive modeling using regression and classification methods.

• Coursera
• On-Demand
• Paid Course
• 5 courses

Edureka

Machine Learning with PySpark

Master distributed machine learning using PySpark MLlib to build scalable models, process large datasets, and implement advanced algorithms for classification, regression, and clustering in a big data environment.

• Coursera
• 13 hours 7 minutes
• On-Demand
• Free Online Course (Audit)

Complete Visual Guide to Machine Learning

Gain insights into machine learning fundamentals through visual examples and Excel-based models, covering classification, regression, forecasting, and unsupervised learning techniques - no coding required.

• Coursera
• 15 hours 3 minutes
• On-Demand
• Free Online Course (Audit)

Supervised Learning Regression Classification Clustering

Master essential machine learning techniques from regression and classification to clustering, gaining practical skills to implement supervised and unsupervised learning for real-world data analysis.

• Coursera
• 7 hours 33 minutes
• On-Demand
• Free Online Course (Audit)