MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
This liveProject is for intermediate Python programmers who know the basics of data science and machine learning. To complete the second milestone of this liveProject, you will work with PyTorch. To begin this liveProject you will need to be familiar with the following:
TOOLS
- Intermediate Python
- Basics of Jupyter Notebook
- Basics of Google Colab
- Basics of PyTorch
- Basics of scikit-learn
- Basics of Git and GitHub
- Basics of Google Drive
TECHNIQUES
- Naive Bayes
- Neural Networks
- Classification
- Evaluation
you will learn
In this liveProject, you’ll learn how to effectively utilize Google Colab in a data science project. Mastery of Colab opens up free resources that you can use to operate processor-taxing data science that is often impossible on personal hardware.
- Using Colab as a Jupyter Notebook
- Reading input from your Google Drive
- Utilizing Colab hardware acceleration capabilities
- Combining Colab with PyTorch
- Getting the most out of Colab’s free resources
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.