What are some common techniques for image data analysis using Python? Some common techniques for image data analysis using Python include image segmentation, object detection, feature extraction ...

The image-eda package uses a pre-trained neural network to extract feature maps from a given number of datasets then apply a dimensionality reduction algorithm and finally, plot the transformed data ...

However, in recent years the open source community has developed increasingly-sophisticated data manipulation, statistical analysis, and machine learning libraries for Python. We are now at the point ...

In many data analytics use cases, the Python code tends to be simple ... Such applications include image diagnostics, NLP of medical documents, and the prediction of diseases using human ...

With this book, you’ll get up and running using Python for data analysis by exploring ... you’ll work on real-world examples to analyze textual and image data using natural language processing (NLP) ...

The recent announcement from Microsoft that they have now integrated Python into it’s Excel spreadsheet software has opened up a wealth of new applications for data analytics, automation and ...

The new Anaconda Python Distribution in Excel, which is currently in beta, will bring Python data analysis and data science capabilities to the popular spreadsheet program from Microsoft. The ...

machine learning and data analysis. Image: edX/Screenshot by TechRepublic The “Statistics and Data Science with Python” course presented by the Massachusetts Institute of Technology is by far ...