Machine Learning Courses and Certifications

Advanced Machine Learning Models for Prediction

3 ratings

Master advanced machine learning algorithms including SVM, decision trees, random forests, and neural networks for predictive modeling using Scikit-Learn, with focus on practical implementation and optimization.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Introduction to Machine Learning with caret

Master machine learning fundamentals using R's caret package, covering data preprocessing, model training, evaluation, and cross-validation through hands-on practice with real datasets like iris.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Practical Machine Learning with the mtcars Dataset in R

Master practical machine learning in R through hands-on projects with mtcars dataset, covering preprocessing, model building, evaluation, visualization, and cross-validation techniques.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Revisiting Machine Learning Fundamentals

Discover practical ML fundamentals through an end-to-end project covering data exploration, preprocessing, model building, evaluation, and REST API deployment.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Career Certificate

Improving Machine Learning and Deep Learning Models

Master model optimization through hands-on techniques covering evaluation, regularization, hyperparameter tuning, and neural network enhancement with scikit-learn, XGBoost, and PyTorch.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate
• 4 courses

Introduction to R and Machine Learning using R

Machine learning is a technique that uses large data sets to make predictions. R is an open source, statistical software that is always evolving. In this course you can learn how to use R and/or how to apply it to machine learning problems.

• OpenLearning
• 8 hours
• Self-Paced
• Paid Course

Career Certificate

Machine Learning in Business

Discover how to strategically implement machine learning in your business without coding, gaining practical insights from MIT experts on technology integration and impact.

• GetSmarter
• 6 weeks, 7 hours/week
• 10th Jun, 2026
• Paid Course

Machine Learning Techniques & Applications

Explore practical machine learning, deep learning, generative AI, and NLP applications for solving real-world problems.

• OpenLearning
• 40 hours
• Self-Paced
• Paid Course

Career Certificate

Python Machine Learning

Master machine learning fundamentals through hands-on Python programming, covering regression, classification, decision trees, and ensemble methods to solve real-world data problems.

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

Career Certificate

Python Machine Learning Advanced

Master advanced machine learning techniques using Python, including deep learning, ensemble methods, and model optimization for complex real-world applications.

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

Machine Learning for Healthcare

6 ratings

This course introduces students to machine learning in healthcare, including the nature of clinical data, disease progression modeling, precision medicine, diagnosis, subtype discovery, and improving clinical workflows.

• MIT OpenCourseWare
• 31 hours
• Self-Paced
• Free Video

Machine Learning Foundations for Product Managers

804 ratings at Coursera

Build foundational understanding of machine learning, including model development, evaluation, and common algorithms. Gain hands-on experience training and optimizing a model for a real-world problem.

• Coursera
• 16 hours 2 minutes
• Self-Paced
• Paid Course

Machine Learning in Production

3358 ratings at Coursera

Build intuition for end-to-end ML production systems, covering project scoping, data needs, modeling strategies, and deployment patterns. Learn to address challenges like concept drift and error analysis.

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

Fundamentals of Machine Learning and Artificial Intelligence

3240 ratings at Coursera

Explore AI, ML, and deep learning foundations, including generative AI. Gain insights into AWS services with AI/ML capabilities for solving real-world problems across industries.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Exploratory Data Analysis for Machine Learning

2563 ratings at Coursera

Aprenda técnicas essenciais de análise exploratória de dados para machine learning, incluindo limpeza, engenharia de recursos e testes de hipóteses, preparando-se para projetos de IA.

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