Courses from 1000+ universities
Two years after its first major layoff round, Coursera announces another, impacting 10% of its workforce.
600 Free Google Certifications
Graphic Design
Data Analysis
Digital Marketing
El rol de la digitalización en la transición energética
First Step Korean
Supporting Successful Learning in Primary School
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Learn Cross-Validation, earn certificates with free online courses from Harvard, University of Washington, Higher School of Economics, CU Boulder and other top universities around the world. Read reviews to decide if a class is right for you.
Master machine learning fundamentals through hands-on Python programming, covering regression analysis, classification algorithms, and essential data science techniques for real-world problem-solving.
Explore advanced statistical learning techniques for data science, including resampling methods, model optimization, and non-linear approaches to enhance prediction accuracy and interpretability.
Master regression analysis techniques to model relationships, prevent overfitting, and make data-driven decisions. Explore linear and polynomial regression, regularization, cross-validation, and ensemble methods through hands-on practice.
Enhance marketing strategies with machine learning: predict customer behavior, optimize campaigns, uncover hidden patterns, and personalize experiences using advanced analytics techniques.
Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn
This course is designed to get you up to speed with the most important and powerful methodologies in statistics.
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.
In this course you'll learn how to apply machine learning in the HR domain.
Machine Learning 101 Class Bootcamp Course Intro to AI
Learn grid and random search, Bayesian optimization, multi-fidelity models, Optuna, Hyperopt, Scikit-Optimize & more.
Learn The Most Effective Machine Learning Techniques in Python
Fundamentals of Data Science : Exploratory Data Analysis (EDA), Regression (Linear & logistic), Visualization, Basic ML
Python, Docker, Flask, GitLab, Jenkins tools and technology used for deploy model in your Local server. A complete Guide
Learn Data Science using R from scratch. Build your career as a Data Scientist. Explore knitr, buzz dataset, adv methods
Learn to streamline your machine learning workflows with tidymodels.
Get personalized course recommendations, track subjects and courses with reminders, and more.