Based on our record, OpenCV should be more popular than Scikit-learn. It has been mentiond 12 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.
If you're not familiar with Scikit-learn and Runflow,. - Source: dev.to / 22 days 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 / about 1 month 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 / 3 months ago
I would recommend starting with scikit and some popular data set (e.g. titanic). - Source: Reddit / 4 months ago
Scikit-learn is a free and open-source software for data analysis and data mining tasks. It is also used to build machine learning models and works efficiently with complex data. Scikit-learn is built atop other Python libraries, and hence it is interoperable with most of the other Python libraries (NumPy, SciPy, Pandas, etc.). - Source: dev.to / 4 months ago
OpenCV - The bread and butter of computer vision. Enough said. - Source: Reddit / 23 days ago
It's OpenCV. You can see it aliased as cv2 as is common. - Source: Reddit / about 1 month ago
Then you still have to implement the whole object detection pipeline, and you should learn about OpenCV here. A very important Computer Vision library that is used here for example to draw the bounding boxes. - Source: dev.to / about 2 months ago
You might want to check out Vuforia (https://developer.vuforia.com/) and OpenCV (https://opencv.org/). - Source: Reddit / about 2 months ago
Computer vision requires lots of data for getting good accuracy. Two essential technologies are used to accomplish this: a type of machine learning called deep learning and a convolutional neural network (CNN) but now a days there are many pre-made libraries and frameworks available where you need not to know CNN or RNN. For eg: openCV. - Source: dev.to / 2 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
NumPy - NumPy is the fundamental package for scientific computing with Python
Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
WEKA - WEKA is a set of powerful data mining tools that run on Java.
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.