Keras is widely used for a range of deep learning tasks, such as image and text classification, object detection, natural language processing, and more. Its simplicity and flexibility make it a popular choice for researchers, data scientists, and machine learning engineers. 2. NumPy NumPy, which...
Staple Python Libraries for Data Science 1. NumPy NumPy, is one of the most broadly-used open-source Python libraries and is mainly used for scientific computation. Its built-in mathematical functions enable lightning-speed computation and can support multidimensional data and large matrices. It is...
One of the reasons for its success and popularity is its set of robust libraries that make it so dynamic and fast. In this article, we will look at some of the Python libraries for data science tasks other than the commonly used ones like pandas, scikit-learn, and matplotlib. Although ...
The significant component of Data Science tasks uses Machine Learning for predictive models.Data Science is loaded with opportunities and major career prospects. Look at the various field where Data Science aid its contribution; you will not find any field that is not used: banking, logistics, ...
While writing this article, we have done our best to bring the top 25 Python libraries used for data science projects. The original list was even longer, but you see here the ones that most data science professionals either recommend or use themselves. ...
The focus of this course is to provide in depth details of some of these Data Science Libraries along with some solid examples of how these libraries can be used in several data science applications.
Pandas: Python Data Analysis, or Pandas, is commonly used in data science, but also has applications for data analytics, wrangling, and cleaning. Pandas offers eloquent syntax, as well as high-level data structures and tools for manipulation. Matplotlib: This is Python’s first data visualization...
We Organized Python Libraries for Data Science Into 6 Categories: The categories included in this post, which we see as taking into account common data science libraries — those likely to be used by practitioners in the data science space for generalized, non-neural network, non-research ...
Pandas is a Python library that provides high-level data structures and a vast variety of tools for analysis. The great feature of this package is the ability to translate rather complex operations with data into one or two commands. Pandas contains many built-in methods for grouping, filtering...
This is yet another open-source software used for scientific computing in Python. Apart from that, Scipy is also used for Data Computation, productivity, high-performance computing, and quality assurance. The various installation packages can be found here. The core Scipy packages are Numpy, SciPy...