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- Status: Free
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics
Skills you'll gain: Cloud Computing, Python Programming, Machine Learning, Machine Learning Software, Microsoft Azure, Applied Machine Learning, Cloud Applications, Human Learning, Cloud Platforms, Machine Learning Algorithms, Computer Programming
Google Cloud
Skills you'll gain: Machine Learning, Tensorflow, Cloud Computing, Cloud Platforms
Skills you'll gain: Dashboard, Pandas (Python Package), Data Visualization Software, Web Scraping, Jupyter, Data Analysis, Data Science, Data Processing, NumPy, Data Manipulation, Python Programming, Data Collection
Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Supervised Learning, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Development Environment
Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Scikit Learn (Machine Learning Library), Applied Machine Learning, Deep Learning, Data Transformation, Machine Learning, Distributed Computing, Exploratory Data Analysis
Skills you'll gain: Algorithms, Applied Machine Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Machine Learning Software, Microsoft Azure, Cloud Computing, Regression, Training
Skills you'll gain: Unit Testing, Application Deployment, Flask (Web Framework), Application Development, Python Programming, Web Applications, Restful API, Application Programming Interface (API), Natural Language Processing, Artificial Intelligence, IBM Cloud, Programming Principles, Style Guides
University of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Dimensionality Reduction, Random Forest Algorithm, Regression Analysis, Artificial Neural Networks
Whizlabs
Skills you'll gain: Selenium (Software), Debugging, Software Testing, Unit Testing, Test Automation, Web Applications, Test Case, Development Environment, Software Installation
University of Michigan
Skills you'll gain: Matplotlib, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package)
Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Strategy, MLOps (Machine Learning Operations), Machine Learning Algorithms, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Deep Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Data Processing, Data Transformation
In summary, here are 10 of our most popular jupyter+lab+training courses
- Data Science Challenge:Â Coursera Project Network
- Build and Operate Machine Learning Solutions with Azure:Â Microsoft
- Intro to TensorFlow en Español: Google Cloud
- Python Project for Data Science:Â IBM
- Learning TensorFlow: the Hello World of Machine Learning:Â Google Cloud
- Perform data science with Azure Databricks:Â Microsoft
- Microsoft Azure Machine Learning for Data Scientists:Â Microsoft
- Developing AI Applications with Python and Flask:Â IBM
- Applied Machine Learning in Python:Â University of Michigan
- Selenium WebDriver with Python:Â Whizlabs