
Duke University
Skills you'll gain: UI Components, User Interface (UI), Computational Thinking, HTML and CSS, Web Design and Development, Interactive Design, Hypertext Markup Language (HTML), Web Development, Programming Principles, Web Design, Javascript, Event-Driven Programming, Computer Programming, Program Development, Algorithms, Web Applications, Cascading Style Sheets (CSS)
★ 4.6 (15K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Model Optimization, Large Language Modeling, Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Model Training, Deep Learning, Applied Machine Learning, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming
Beginner · Course · 1 - 3 Months

Skills you'll gain: Fine-tuning, Tensorflow, Keras (Neural Network Library), Model Training, Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
★ 4.6 (212) · Intermediate · Guided Project · Less Than 2 Hours

University of Illinois Urbana-Champaign
Skills you'll gain: Social Studies, Diversity Awareness, Cultural Diversity, Sociology, Social Sciences, Culture, Social Justice, World History, Socioeconomics, Political Sciences, Immigration Law
★ 4.6 (302) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Model Training, Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis
★ 4.6 (19) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Tensorflow, Applied Machine Learning, Feature Engineering, Decision Tree Learning, Data Cleansing, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Model Optimization, Model Training, Fine-tuning, Computer Vision, Deep Learning, Data Preprocessing, Jupyter
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Logistic Regression, Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Predictive Modeling, Data Science, Machine Learning, Python Programming
★ 4.6 (22) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Model Training, Tensorflow, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Network Model, Deep Learning, Computer Vision, Machine Learning, Network Architecture
★ 4.6 (848) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Model Training, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Applied Machine Learning, Predictive Modeling, Spatial Data Analysis, Machine Learning, Data Preprocessing, Python Programming
★ 4.6 (59) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Model Training, Classification And Regression Tree (CART), Decision Tree Learning, Data Preprocessing, R (Software), Statistical Modeling, R Programming, Supervised Learning, Machine Learning
★ 4.8 (6) · Beginner · Guided Project · Less Than 2 Hours