Supervised Learning Courses and Certifications

Microcredential

Machine Learning for Marketing

19 ratings at Coursera

Explore Machine Learning, Text Mining, and Decision Science to enhance marketing strategies, improve decision-making, and gain insights into consumer behavior and digital marketing analytics.

• Coursera
• 12 weeks, 10 hours a week
• On-Demand
• Paid Course
• 4 courses

EDUCBA

Machine Learning with R: Build, Analyze & Predict

15 ratings at Coursera

Master machine learning foundations and R programming through hands-on practice with regression, classification, decision trees, and ensemble methods for real-world data analysis.

• Coursera
• 12 hours 31 minutes
• On-Demand
• Paid Course

EDUCBA

Python: Logistic Regression & Supervised ML

17 ratings at Coursera

Master logistic regression and supervised ML using Python with the Titanic dataset, covering data analysis, feature engineering, model building, and evaluation techniques.

• Coursera
• 4 hours 39 minutes
• On-Demand
• Paid Course

Applications of Machine Learning in Plant Science

Explore machine learning applications in plant sciences through Python exercises, covering key concepts and real-world examples to implement and evaluate ML approaches in plant biology.

• edX
• 12 weeks, 1-2 hours a week
• On-Demand
• Free Online Course (Audit)

Coursera

Foundations of Machine Learning

11 ratings at Coursera

Master fundamental ML techniques including supervised/unsupervised learning, data preprocessing, and time series forecasting using Python libraries for real-world applications.

• Coursera
• 1 day 6 hours 19 minutes
• On-Demand
• Paid Course

Hybrid Python3|Swift4 Applications

11 ratings at Udemy

Learn to build hybrid Python-Swift applications for data science, including cancer prediction models and a BI-RADS app, using tools like Anaconda, Jupyter, and scikit-learn.

• Udemy
• 1 hour 14 minutes
• On-Demand
• Free Online Course

AI For All

14 ratings at Coursera

Discover AI fundamentals, ethics, prompt engineering, and business applications to confidently integrate artificial intelligence into real-world scenarios and industries.

• Coursera
• 18 hours 1 minute
• On-Demand
• Paid Course

AI & Deep Learning Concepts and Applications

10 ratings at Coursera

Master AI fundamentals, machine learning techniques, and deep learning frameworks while gaining hands-on experience with TensorFlow and Python to build neural network models for real-world applications.

• Coursera
• 5 hours 38 minutes
• On-Demand
• Paid Course

EDUCBA

SPSS: Apply & Interpret Logistic Regression Models

13 ratings at Coursera

Master logistic regression in SPSS through hands-on analysis of real datasets like heart pulse and smoking behavior, building predictive models and interpreting statistical outputs.

• Coursera
• 4 hours 59 minutes
• On-Demand
• Paid Course

Packt Microcredential

Machine Learning, Data Science and Generative AI with Python

5 ratings at Coursera

Master machine learning, data science, and generative AI using Python. Build models with TensorFlow, work with big data using Spark, and deploy real-time AI systems ethically.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Basics of Machine Learning

"Basics of Machine Learning" introduces participants to the fundamental concepts and tools of machine learning, including probability density estimation, linear regression, classification techniques, ensemble methods, and deep neural networks.

• edX
• 8 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Basics of Data Science

Comprehensive introduction to data science fundamentals, covering analysis techniques, tools, and ethical considerations. Includes hands-on Python exercises for practical application of concepts.

• edX
• 9 weeks, 5-11 hours a week
• On-Demand
• Free Online Course (Audit)

Machine Learning Fundamentals

Discover supervised machine learning fundamentals, from linear regression to classification models, regularization techniques, and performance evaluation using ROC curves.

• Coursera
• 1 day 10 hours 7 minutes
• On-Demand
• Paid Course

Microcredential

IBM Machine Learning

Comprehensive program covering key machine learning types, algorithms, and applications. Develop practical skills using open-source frameworks for a career in AI and data science.

• Coursera
• 30 weeks, 3 hours a week
• On-Demand
• Paid Course
• 6 courses

Machine Learning

Master Python-based machine learning from fundamentals to deep learning, covering scikit-learn, TensorFlow, neural networks, and real-world applications with text and image data.

• Coursera
• 1 day 12 hours 2 minutes
• On-Demand
• Paid Course