Remove data notebook how-to-save-a-plot-to-a-file-using-matplotlib
article thumbnail

Run interactive workloads on Amazon EMR Serverless from Amazon EMR Studio

AWS Big Data

You can now use EMR Serverless applications as the compute, in addition to Amazon EMR on EC2 clusters and Amazon EMR on EKS virtual clusters, to run JupyterLab notebooks from EMR Studio Workspaces. Once they’re assigned, EMR Studio developers can use EMR Studio to develop and monitor workloads. Choose Next. Choose Submit.

article thumbnail

PyCaret 2.2: Efficient Pipelines for Model Development

Domino Data Lab

Data science is an exciting field, but it can be intimidating to get started, especially for those new to coding. Even for experienced developers and data scientists, the process of developing a model could involve stringing together many steps from many packages, in ways that might not be as elegant or efficient as one might like.

Modeling 145
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to supercharge data exploration with Pandas Profiling

Domino Data Lab

Producing insights from raw data is a time-consuming process. The Importance of Exploratory Analytics in the Data Science Lifecycle. Exploratory analysis is a critical component of the data science lifecycle. Exploratory analysis is a critical component of the data science lifecycle. imputation of missing values).

article thumbnail

Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.