Decision Trees Courses and Certifications

HUJI Machine Learning Club

Coresets and Decision Trees for Machine Learning Optimization

Discover how coresets can optimize decision tree algorithms, boost computation speed by 10x, and maintain accuracy in machine learning applications through geometric partitioning techniques.

• YouTube
• 59 minutes
• On-Demand
• Free Video

The Analytics Edge

80 reviews

Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.

• edX
• 13 weeks, 10-15 hours a week
• On-Demand
• Free Online Course (Audit)

• Best of All Time

Statistical Learning with R

28 reviews

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.

• edX
• 11 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

NPTEL;  IIT Kharagpur

Data Mining

25 reviews

Comprehensive exploration of data mining techniques, covering preprocessing, association rules, classification methods, and clustering algorithms for extracting valuable insights from datasets.

• YouTube
• 16 hours
• On-Demand
• Free Video

Operations Analytics

6 reviews

Learn to transform data into profitable decisions using analytics. Model uncertainties, predict outcomes, and choose optimal actions in various business settings using quantitative methods and software.

• Coursera
• 10 hours 19 minutes
• On-Demand
• Free Online Course (Audit)

Stanford CS229 - Machine Learning Full Course Taught by Andrew Ng - Autumn 2018

Comprehensive machine learning series covering fundamental concepts to advanced topics, taught by Andrew Ng. Includes algorithms, neural networks, and reinforcement learning.

• YouTube
• 1 day 3 hours
• On-Demand
• Free Online Course

Kaggle;  Amazon Web Services;  Amazon Microcredential

Introduction to Machine Learning with TensorFlow

5 reviews

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
• 2 months 1 week 5 days 12 hours 43 minutes
• On-Demand
• Paid Course

Introduction to Machine Learning in Sports Analytics

22 ratings at Coursera

Explore supervised machine learning techniques using Python and real athletic data to predict sports outcomes, applying methods like SVM, decision trees, and ensembles to analyze professional leagues and wearable device data.

• Coursera
• 12 hours 55 minutes
• On-Demand
• Free Online Course (Audit)

The Analytics Edge (Spring 2017)

2 reviews

This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today's most important companies.

• MIT OpenCourseWare
• 16 hours
• On-Demand
• Free Video

Classification Models

Learn how to use classification predictive models to solve business problems involving non-numeric data.

• Udacity
• 2 weeks
• On-Demand
• Free Online Course

Kaggle;  Amazon Web Services

Supervised Learning

In this course, you'll learn about different types of supervised learning and how to use them to solve real-world problems.

• Udacity
• 3 weeks, 5-6 hours a week
• On-Demand
• Paid Course

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
• On-Demand
• Free Certificate

Cracking Classification

Master essential classification algorithms including logistic regression, decision trees, KNN, Naive Bayes, and SVM. Learn to evaluate model performance and apply techniques to real-world datasets.

• CodeSignal
• On-Demand
• Free Certificate

Hypertuning and Cross-Validation

Master hyperparameter optimization techniques through grid search, random search, and cross-validation methods to enhance machine learning model performance and achieve optimal results.

• CodeSignal
• On-Demand
• Free Certificate

Advanced Machine Learning Models for Prediction

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
• On-Demand
• Free Certificate