Based on our record, Scikit-learn seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.
Website: https://scikit-learn.org/ Github Repository: https://github.com/scikit-learn/scikit-learn Developed By: SkLearn.org Primary Purpose: Predictive Data Analysis and Data Modeling. - Source: dev.to / about 2 months ago
If you're not familiar with Scikit-learn and Runflow,. - Source: dev.to / 4 months ago
Next comes the complexity of drawing the maximum possible number of valuable insights. Using different python libraries such as Scikit-Learn, PyTorch, Pandas, etc., complications of data analysis can be solved within a minute. And the complexity associated with visualisation gets handled by other data visualisation libraries like Matploitlib, PyTorch, etc. - Source: Reddit / 4 months ago
The maths, specifically calculus and linear algebra, behind machine learning gets a bit hairy. We’ll be abstracting this away with the Python library scikit-learn, which makes it possible to do advanced machine learning in a few lines of Python. - Source: dev.to / 6 months ago
I would recommend starting with scikit and some popular data set (e.g. titanic). - Source: Reddit / 7 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...
Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
NumPy - NumPy is the fundamental package for scientific computing with Python
Exploratory - Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
htm.java - htm.java is a Hierarchical Temporal Memory implementation in Java, it provide a Java version of NuPIC that has a 1-to-1 correspondence to all systems, functionality and tests provided by Numenta's open source implementation.