Based on our record, Pandas should be more popular than Scikit-learn. It has been mentiond 47 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 / 23 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
Python's standard library has a csv module. However, you can't just access a specific row like this. You would need an iterative approach (i.e. Using a loop). Alternatively, there is the pandas library, which is very versatile and powerful for working with tables, it's not that easy to learn though. - Source: Reddit / about 16 hours ago
Practical (or lazy) people like me use pandas to organize all their Python data that need multi-column sort, just like in this Jupyter Notebook example:. - Source: dev.to / 3 days ago
If you are new to pandas, do the pandas UltraQuick Tutorial Colab exercise, which provides all the pandas information you need for this course. - Source: dev.to / 4 days ago
I've heard that it's better to learn some of the basic of Python first and then add the geo-spatial so you can check out Think Python and Python for Data Analysis. The second uses pandas which has a spatial extension, geopandas. You can also check out Anita Graser's course for PyQGIS here. There's tons more resources out there. - Source: Reddit / 7 days ago
Python + Pandas, R or powerBI will serve you well. - Source: Reddit / 10 days ago
OpenCV - OpenCV (Open Source Computer Vision) is a library of programming functions for real time computer...
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.