Decision Trees Courses and Certifications

Classification Analysis

Explore key classification algorithms, their applications, and evaluation methods. Gain hands-on experience through tutorials and case studies to solve real-world data analysis problems.

• Coursera
• 1 day 14 hours 13 minutes
• On-Demand
• Free Online Course (Audit)

Trees, SVM and Unsupervised Learning

Explore support vector machines, neural networks, decision trees, and XG boost for predictive modeling. Learn data representation through PCA and clustering for practical applications in data science.

• Coursera
• 12 hours 58 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Machine Learning: Supervised Learning

59 ratings at Coursera

Explore supervised ML algorithms, prediction tasks, and model selection. Learn to improve performance using linear/logistic regression, KNN, decision trees, ensembling methods, and kernel techniques like SVM.

• Coursera
• 1 day 15 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Data Mining Methods

31 ratings at Coursera

Explore core data mining techniques including pattern analysis, classification, clustering, and outlier analysis. Learn advanced methods for complex data and discover research frontiers in the field.

• Coursera
• 1 day 4 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Statistical Learning for Data Science

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 17 weeks, 9 hours a week
• On-Demand
• Paid Course
• 3 courses

Imperfect Information: Information Sets and Sub-game Perfection in Game Theory - Lecture 18

Explore game theory concepts like information sets, imperfect information games, and subgame perfection. Learn to analyze complex strategic interactions and refine equilibrium notions in sequential games.

• YouTube
• 1 hour 16 minutes
• On-Demand
• Free Video

Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

64 ratings at Coursera

Explore machine learning's technical aspects, from foundational principles to advanced methods. Learn to avoid pitfalls, interpret models, and evaluate performance while gaining insights into cutting-edge techniques and ethical considerations.

• Coursera
• 17 hours 26 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning using Python

489 ratings at Udemy

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in Python

• Udemy
• 18 hours 49 minutes
• On-Demand
• Paid Course

Data Science and Machine Learning Bootcamp with R

17191 ratings at Udemy

Learn how to use the R programming language for data science and machine learning and data visualization!

• Udemy
• 17 hours 46 minutes
• On-Demand
• Paid Course

Machine Learning & Deep Learning in Python & R

5688 ratings at Udemy

Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R

• Udemy
• 1 day 9 hours 11 minutes
• On-Demand
• Paid Course

Credit Risk Modeling in R

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Data Science: Supervised Machine Learning in Python

3348 ratings at Udemy

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn

• Udemy
• 6 hours 24 minutes
• On-Demand
• Paid Course

Machine Learning for Finance in Python

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Machine Learning: Concepts and Applications

17 ratings at Coursera

Comprehensive introduction to machine learning theory and practice using Python. Learn data preparation, modeling techniques, and evaluation methods with real-world datasets, focusing on practical applications and conceptual understanding.

• Coursera
• 1 day 13 hours 39 minutes
• On-Demand
• Free Online Course (Audit)

Complete Machine Learning with R Studio - ML for 2024

2519 ratings at Udemy

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio

• Udemy
• 12 hours 1 minute
• On-Demand
• Paid Course