Supervised Learning Courses and Certifications

Whizlabs

NVIDIA: Fundamentals of Machine Learning

30 ratings at Coursera

Master machine learning fundamentals, from data preprocessing to advanced GPU-accelerated techniques using NVIDIA RAPIDS. Covers supervised and unsupervised learning, model evaluation, and practical implementations.

• Coursera
• 6 hours 1 minute
• Self-Paced
• Paid Course

Coursera Career Certificate

Machine Learning with Scikit-learn, PyTorch & Hugging Face

30 ratings at Coursera

Master machine learning from foundations to generative AI using Python, scikit-learn, PyTorch & Hugging Face through hands-on projects and real-world applications.

• Coursera
• 20 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

Artificial Intelligence in Finance and Wealth Management

27 ratings at Coursera

Explore how AI and machine learning are revolutionizing financial planning and wealth management through practical applications, innovative tools, and ethical considerations in this three-course specialization.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

CertNexus

Build Regression, Classification, and Clustering Models

20 ratings at Coursera

Learn to build regression, classification, and clustering models using various algorithms. Gain hands-on experience in model selection, evaluation, and tuning for supervised and unsupervised learning tasks.

• Coursera
• 20 hours 19 minutes
• Self-Paced
• Paid Course

AI For All

19 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
• Self-Paced
• Paid Course

Career Certificate

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/week
• Self-Paced
• Paid Course
• 4 courses

EDUCBA

Understand and Apply Artificial Intelligence Fundamentals

18 ratings at Coursera

Explore AI fundamentals from core concepts to machine learning and reinforcement learning techniques for intelligent decision-making systems.

• Coursera
• 5 hours 58 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course

EDUCBA

Machine Learning with R: Build, Analyze & Predict

16 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
• Self-Paced
• Paid Course

Coursera

Foundations of Machine Learning

15 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
• Self-Paced
• 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
• Self-Paced
• Paid Course

EDUCBA

Machine Learning with Python & Statistics

13 ratings at Coursera

Master probability, sampling, distributions, and statistical testing to build machine learning models with Python and validate results through hypothesis testing and linear algebra.

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

LearnKartS

Introduction to AI and Machine Learning

10 ratings at Coursera

Discover the fundamentals of AI and ML with AWS, covering supervised and unsupervised learning, neural networks, NLP, computer vision, and hands-on experience with Amazon SageMaker for model deployment and optimization.

• Coursera
• 8 hours 44 minutes
• Self-Paced
• Paid Course

Introduction to Data Science for Complete Beginners

1021 ratings at Udemy

Most Frequent Questions about Data Science are answered in this course

• Udemy
• 1 hour 59 minutes
• Self-Paced
• Free Online Course