Supervised Learning Courses and Certifications

Career Certificate

Python Machine Learning

Master machine learning fundamentals with Python, covering regression analysis, classification algorithms, and key data science libraries to tackle real-world problems effectively.

• VDCI
• 30 hours
• Self-Paced
• $1,895.00

Career Certificate

IBM Introduction to Machine Learning

3388 ratings at Coursera

Gain essential machine learning skills for high-demand careers. Learn to apply algorithms, predict outcomes, and evaluate models through hands-on projects, earning an IBM Badge and building a portfolio.

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

Introduction to Deep Learning & Neural Networks with Keras

2121 ratings at Coursera

. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks?

• Coursera
• 10 hours 10 minutes
• Self-Paced
• Paid Course

Kaggle;  Amazon Web Services;  Amazon Career Certificate

Introduction to Machine Learning with TensorFlow

5 ratings

Learn supervised and unsupervised machine learning techniques using TensorFlow and Python. Master regression, neural networks, clustering, and more to solve real-world problems and build an image classifier.

• Udacity
• 49 hours
• Self-Paced
• Paid Course

Scalable Machine Learning on Big Data using Apache Spark

1252 ratings at Coursera

Learn to scale machine learning tasks on big data using Apache Spark. Gain hands-on experience with parallel processing, distributed storage, and SparkML Pipelines to handle petabyte-scale datasets efficiently.

• Coursera
• 6 hours 38 minutes
• Self-Paced
• Paid Course

Alberta Machine Intelligence Institute Career Certificate

Machine Learning: Algorithms in the Real World

1071 ratings at Coursera

Comprehensive journey through applied machine learning, from problem definition to deployment, equipping professionals to build and maintain successful ML applications across various domains.

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

Agreenium

Chimiometrie, chapitre 2/2 : les méthodes supervisées

Le présent chapitre est consacré aux méthodes supervisées (régressions, discrimination, robustesse, sélection de variables) ainsi qu'à la validation de méthodes analytiques.

• France Université Numerique
• 60 hours
• Self-Paced
• Free Online Course

Google Cloud;  New York Institute of Finance

Introduction to Trading, Machine Learning & GCP

899 ratings at Coursera

Explore trading fundamentals, machine learning, and Google Cloud Platform to build quantitative strategies and models using Python, focusing on regression, time series, and neural networks.

• Coursera
• 5 hours 25 minutes
• Self-Paced
• Paid Course

Machine Learning for Data Analysis

328 ratings at Coursera

Explore machine learning techniques for predictive analysis, covering decision trees, random forests, lasso regression, and k-means clustering. Gain hands-on experience applying these algorithms to real-world data.

• Coursera
• 10 hours 28 minutes
• Self-Paced
• Paid Course

Intro to Predictive Analytics Using Python

Master predictive analytics fundamentals using Python, from regression models to advanced techniques like random forests and unsupervised learning, enabling data-driven forecasting and pattern recognition.

• Coursera
• 10 hours 52 minutes
• Self-Paced
• Paid Course

Machine Learning

4 ratings

Why write programs when the computer can instead learn them from data? In this class you will learn how to make this happen, from the simplest machine learning algorithms to quite sophisticated ones. Enjoy!

• Coursera
• Self-Paced
• Free Online Course

Advanced Malware and Network Anomaly Detection

23 ratings at Coursera

Equip yourself with AI-powered skills to combat advanced cybersecurity threats. Master malware detection, network anomaly identification, and practical implementations using real-world data.

• Coursera
• 11 hours 47 minutes
• Self-Paced
• Paid Course

Career Certificate

Applied Machine Learning

16 ratings at Coursera

Develop practical machine learning skills through hands-on application of supervised learning, ensemble methods, neural networks, and advanced techniques like CNNs and reinforcement learning.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Applied Machine Learning: Techniques and Applications

12 ratings at Coursera

Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.

• Coursera
• 19 hours 24 minutes
• Self-Paced
• Paid Course

Georgia Tech;  Brown University

Machine Learning

7 ratings

In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

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