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Based on our record, Pandas seems to be a lot more popular than ConvNetJS. While we know about 201 links to Pandas, we've tracked only 2 mentions of ConvNetJS. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
One, Two, Three, and so on. ANYone does use JS for machine learning. Though that's unconventional, python is by far the leading language for ML. Maybe you meant to say "EVERYone"? Source: about 1 year ago
Another good one is ConvNetJS - but I don’t have much experience using that. - Source: dev.to / almost 3 years ago
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 8 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 13 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 1 month ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / about 2 months ago
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
NumPy - NumPy is the fundamental package for scientific computing with Python
Microsoft Cognitive Toolkit (Formerly CNTK) - Machine Learning
OpenCV - OpenCV is the world's biggest computer vision library
TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.