Courses from 1000+ universities
Two years after its first major layoff round, Coursera announces another, impacting 10% of its workforce.
600 Free Google Certifications
Artificial Intelligence
Web Development
Computer Networking
Introductory Human Physiology
Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading
Philosophy, Science and Religion: Religion and Science
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn Random Forests, earn certificates with free online courses from Stanford, University of Michigan, Johns Hopkins, University of Edinburgh and other top universities around the world. Read reviews to decide if a class is right for you.
Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming
Basic Concepts like regression algorithms and EDA to advanced concepts like GAN and Explainable AI | Interview Prep
Data Science Projects with Linear Regression, Logistic Regression, Random Forest, SVM, KNN, KMeans, XGBoost, PCA etc
Supervised & unsupervised machine learning in R, clustering in R, predictive models in R by many labs, understand theory
Explore advanced AI techniques: neural networks and random forests. Learn structure, coding, and applications. Complete projects on heart disease prediction and patient similarity analysis.
Predictive models with machine learning wit Rstudio´s ROCR, XGBoost, rparty. Bonus: Neural Networks for Credit Scoring
Master Complete Hands-On Regression Analysis & Classification for applied Statistical Modelling & Machine Learning in R
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.
Learn to build decision trees, SVMs, and neural networks for machine learning and deep learning. Gain practical skills in constructing models to solve regression, classification, computer vision, and natural language processing problems.
Explore advanced ML techniques for supply chain optimization, including neural networks for demand prediction and image classification for quality control.
Explore AI fundamentals, regression analysis, model preparation, classification techniques, and advanced machine learning concepts through interactive labs and real-world applications.
Master Python and Random Forest algorithm for machine learning. Build predictive models, handle data, and optimize performance through hands-on projects and real-world applications.
Learn the core ideas in machine learning, and build your first models.
If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it.
Learn to build, evaluate, and implement Random Forests, including handling missing data and clustering. Gain practical skills using R for this powerful machine learning technique.
Get personalized course recommendations, track subjects and courses with reminders, and more.