Random Forests Courses and Certifications

DigitalSreeni

How to Use Random Forest in Python

Learn to implement Random Forest in Python for data analysis, including data importing, feature engineering, and model fitting techniques.

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

Simons Institute

Debiasing Random Forests for Treatment Effect Estimation

Explore techniques for debiasing random forests in treatment effect estimation, focusing on resource allocation in election campaigns and get-out-the-vote experiments.

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

NPTEL-NOC IITM

Hands-on R: Implementing Tree Regression and Random Forest with Simulated Data

Implement tree regression and random forest techniques using simulated data in R, gaining practical experience with these powerful machine learning algorithms.

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

Shaw Talebi

10 Decision Trees are Better Than 1 - Random Forest and AdaBoost

Explore tree ensembles: Random Forest and AdaBoost. Learn bagging, boosting techniques, and their benefits. Apply knowledge to breast cancer prediction using example code.

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

Practical Machine Learning

27 reviews

Learn essential machine learning concepts and techniques, from data collection to model evaluation, with hands-on practice using popular algorithms and the caret package in R.

• Coursera
• 8-9 hours
• On-Demand
• Free Online Course (Audit)

Opioid Use Disorder Prediction Using AI and Existing Risk Models

Comparative study on AI models for predicting opioid use disorder, showcasing superior performance of transformer-based AI over existing clinical tools and other machine learning approaches.

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

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)

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
• On-Demand
• Free Certificate

Ensembles in Machine Learning

Master ensemble learning techniques like bagging, boosting, and stacking to enhance predictive modeling performance, from Random Forests to Gradient Boosting and AdaBoost implementations.

• 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

Regression Analysis to Model Diamond Prices

Master regression analysis techniques to predict diamond prices through data splitting, model training, evaluation, and advanced visualization methods.

• CodeSignal
• On-Demand
• Free Certificate

Intro to Model Optimization in Machine Learning

Master machine learning optimization techniques using real medical data, from hyperparameter tuning to advanced ensemble methods, enhancing your ability to build accurate predictive models.

• CodeSignal
• On-Demand
• Free Certificate

Ensemble Methods from Scratch

Master ensemble methods by building Bagging, Random Forest, AdaBoost, and Gradient Boosting implementations from scratch. Learn to enhance predictive models through hands-on coding without relying on libraries.

• CodeSignal
• On-Demand
• Free Certificate

Introduction to Modeling Techniques for Text Classification

Master essential text classification techniques using Naive Bayes, SVM, Decision Trees, Random Forests, and Logistic Regression. Learn preprocessing, model tuning, and evaluation methods for effective NLP implementations.

• CodeSignal
• On-Demand
• Free Certificate

Microcredential

Predictive Modeling with Python

Master predictive modeling in Python through hands-on regression analysis, data preprocessing, and advanced machine learning techniques using the California Housing Dataset.

• CodeSignal
• On-Demand
• Free Certificate
• 5 courses