
University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Machine Learning Methods, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Distributed Computing, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Autoencoders, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Preprocessing, AI Personalization, Python Programming, Taxonomy, Development Environment
Intermediate · Course · 1 - 4 Weeks

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
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Data Preprocessing, Data-Driven Decision-Making, Financial Data, Classification Algorithms, Plot (Graphics)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning
Mixed · Course · 1 - 4 Weeks

28DIGITAL
Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Algorithms, Memory Management, Graph Theory, Data Access, Performance Tuning
Advanced · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Machine Learning Methods, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Model Optimization, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Training, Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Predictive Modeling, Data Preprocessing, Data Import/Export, Machine Learning, Classification Algorithms
Beginner · Guided Project · Less Than 2 Hours

Fractal Analytics
Skills you'll gain: Feature Engineering, Model Evaluation, Machine Learning Algorithms, Model Optimization, Machine Learning Methods, Random Forest Algorithm, Advanced Analytics, Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Preprocessing, Fine-tuning, Performance Tuning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms, Reinforcement Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Data Preprocessing, Data Mining, Predictive Modeling, Random Forest Algorithm, Logistic Regression, Model Optimization, Data Manipulation
Intermediate · Course · 3 - 6 Months