224 Online Short courses in Machine Learning

In this Dimensionality Reduction in R course offered by Data Camp you will learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

In this ARIMA Models in Python course offered by Data Camp you will learn about ARIMA models in Python and become an expert in time series analysis.

In this Extreme Gradient Boosting with XGBoost course offered by Data Camp you will learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

In this Modeling with tidymodels in R course offered by Data Camp you will learn to streamline your machine learning workflows with tidymodels.

In this Natural Language Processing in Python course offered by Data Camp you will learn how to transcribe, and extract exciting insights from books, review sites, and online articles with Natural Language Processing (NLP) in Python.

In this Machine Learning with caret in R course offered by Data Camp you will learn the big ideas in machine learning like how to build and evaluate predictive models.

In this Linear Classifiers in Python course offered by Data Camp you will learn the details of linear classifiers like logistic regression and SVM.

In the Hands-on Machine Learning with Python, TensorFlow and Keras course offered by Hokkaido University, TensorFlow and Keras, simple machine learning models and analyses will be developed that can be run on a lap-top computer without a GPU.

In this Designing Machine Learning Workflows in Python course offered by Data Camp you will learn to build pipelines that stand the test of time.

In this Machine Learning Fundamentals in R course offered by Data Camp you will predict categorical and numeric responses via classification and regression, and discover the hidden structure of datasets with unsupervised learning.

In this Machine Learning for Finance in Python course offered by Data Camp you will learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

This Intermediate End-to-End Machine Learning course offered by University of St Andrews is aimed at professionals with a high level of numeracy who are seeking to understand the core concepts, methods, and technologies that underpin modern machine learning. 

In this Fraud Detection in R course offered by Data Camp you will learn  to detect fraud with analytics in R by detecting anomalies in the type of payment methods used.

In this Hyperparameter Tuning in Python course offered by Data Camp you will learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search

EdX is an online learning platform trusted by over 12 million users offering the Applied Deep Learning Capstone Project Certificate in collaboration with IBMx. In this capstone project, you'll use either Keras or PyTorch to develop, train, and test a Deep Learning model. Load and preprocess data for a real problem, build the model and then validate it.

In this Java Programming - Build a Recommendation System course offered by Coursera in partnership with Duke University, you will show off your problem solving and Java programming skills by creating recommender systems. 

In this Preprocessing for Machine Learning in Python course offered by Data Camp you will learn how to clean and prepare your data for machine learning!

Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng. This Machine Learning Specialization is offered by Coursera in partnership with Deeplearning. 

This Artificial Intelligence - an Overview Specialization offered by Coursera in partnership with Politecnico di Milano is intended for beginners seeking to enter the artificial intelligence world.

This Developing your First ML Workflow course from Udacity discusses how to use AWS services to train a model, deploy a model, and how to use AWS Lambda Functions, Step Functions to compose your model and services into an event-driven application.