Support Vector Machine (SVM) Courses and Certifications

Supervised Learning

Master supervised learning algorithms like KNN, SVM, and Random Forest using Sklearn in Python, focusing on practical implementation and real-world problem-solving applications.

• edX
• 6 weeks, 5-7 hours/week
• Self-Paced
• Free Online Course (Audit)

Packt

Fundamentals of Machine Learning

Discover machine learning fundamentals through hands-on labs covering regression, classification, decision trees, SVM, and deep learning with real-world applications.

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

EDUCBA

Advanced Machine Learning with R: Apply & Predict

Master advanced ML techniques in R: clustering, Naive Bayes, neural networks, time series forecasting, PCA, gradient boosting, and market basket analysis for production-ready models.

• Coursera
• 17 hours 40 minutes
• Self-Paced
• Paid Course

Packt

Algorithm Alchemy: Unlocking the Secrets of Machine Learning

Unlock machine learning secrets with Python implementation of supervised, unsupervised, and deep learning algorithms for real-world data problems.

• Coursera
• 5 hours 9 minutes
• Self-Paced
• Paid Course

Edureka

Applied Machine Learning Without Coding

Master machine learning fundamentals and build regression/classification models using Orange Data Mining's visual interface—no coding required for data professionals.

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

Packt

Machine Learning with R

Master machine learning in R, from data prep and classification to deep learning and big data with Spark, Hadoop, Keras, and TensorFlow for real-world applications.

• Coursera
• 1 day 9 hours 10 minutes
• Self-Paced
• Paid Course

Machine Learning: Classification

This course covers key supervised machine learning (ML) and classification techniques, including logistic regression, decision trees, ensemble methods, and handling unbalanced datasets. Build and evaluate classification models using real-world data.

• edX
• 2 weeks, 30-35 hours/week
• Self-Paced
• Free Online Course (Audit)

Coursera

Evaluate & Swap Models in Java ML

Master model evaluation, comparison, and swapping in Java ML applications using metrics like precision, recall, and F1-score for confident real-world deployment decisions.

• Coursera
• 3 hours 40 minutes
• Self-Paced
• Paid Course

Machine Learning using Python

838 ratings at Udemy

(With Practice Labs) Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in Python

• Udemy
• 18 hours 50 minutes
• Self-Paced
• Paid Course

Machine Learning From Basic to Advanced

926 ratings at Udemy

Learn to create Machine Learning Algorithms in Python Data Science enthusiasts. Code templates included.

• Udemy
• 2 hours 59 minutes
• Self-Paced
• Paid Course

Stanford CS229 - Machine Learning I Spring 2022

Master supervised and unsupervised learning, neural networks, reinforcement learning, and statistical pattern recognition through Stanford's comprehensive machine learning curriculum.

• YouTube
• 1 day 1 hour 43 minutes
• Self-Paced
• Free Video

Learn Machine Learning in 21 Days

707 ratings at Udemy

Learn to create Machine Learning Algorithms in Python Data Science enthusiasts. Code templates included.

• Udemy
• 4 hours 37 minutes
• Self-Paced
• Paid Course

Land use Land cover classification GIS, ERDAS, ArcGIS, ML

615 ratings at Udemy

Machine Learning, Land Use Scratch to Advance, All Softwares of Remote Sensing and GIS, GIS Tasks in Easy way learning.

• Udemy
• 6 hours 45 minutes
• Self-Paced
• Paid Course

Machine Learning Course

Comprehensive exploration of machine learning fundamentals, covering linear models, neural networks, SVMs, and key principles for effective algorithm implementation and evaluation.

• YouTube
• 1 day
• Self-Paced
• Free Video

Machine Learning with Python : COMPLETE COURSE FOR BEGINNERS

522 ratings at Udemy

Complete Machine Learning Course with Python for beginners

• Udemy
• 13 hours 13 minutes
• Self-Paced
• Paid Course