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Results for "jupyter+lab+training"
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data
Skills you'll gain: Statistical Methods, Jupyter, Regression Analysis, Statistical Analysis, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning Algorithms, Machine Learning, Supervised Learning, Predictive Modeling, Unsupervised Learning, NumPy, Classification And Regression Tree (CART)
Skills you'll gain: Jupyter, Data Visualization Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Python Programming, SQL
Google
Skills you'll gain: Object Oriented Programming (OOP), Jupyter, Data Structures, Python Programming, NumPy, Pandas (Python Package), Data Analysis, Computer Programming, Programming Principles, Scripting, Data Manipulation
Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Unsupervised Learning, Reinforcement Learning, Deep Learning, Data Manipulation, Tensorflow, Verification And Validation, Generative AI, Artificial Neural Networks, Data Processing, Predictive Modeling, Applied Machine Learning, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Artificial Intelligence, Machine Learning, Scientific Visualization, Computer Vision
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
Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Supervised Learning, Machine Learning
Imperial College London
Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Unsupervised Learning, Python Programming, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter
Skills you'll gain: Data Visualization Software, Plotly, Data Visualization, Dashboard, Interactive Data Visualization, Matplotlib, Seaborn, Data Analysis, Geospatial Information and Technology, Pandas (Python Package), Scatter Plots, Histogram, Heat Maps, Box Plots
- Status: Free
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics
Google Cloud
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Jupyter, Deep Learning, Machine Learning Methods, Pandas (Python Package), Predictive Modeling, Application Deployment, Data Import/Export, Supervised Learning
In summary, here are 10 of our most popular jupyter+lab+training courses
- Python for Data Science, AI & Development: IBM
- Applied Data Science with Python: University of Michigan
- Machine Learning with Python: IBM
- Tools for Data Science: IBM
- Get Started with Python: Google
- IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
- Developing AI Applications with Python and Flask: IBM
- Deep Learning with PyTorch: IBM
- TensorFlow 2 for Deep Learning: Imperial College London
- Data Visualization with Python: IBM