What Python libraries do you use in machine learning?

Are you a tech geek who is looking into making a career in machine learning? If that is true, you need to equip yourself with the right set of knowledge and information. There are certain prerequisites that one needs to match to become a machine learning expert. The use cases of this technology are increasing, and we are witnessing good growth and demand in the number of machine learning experts.

Amongst the key requisites of machine learning, one needs to command a programming language like Python. The latter is one of the most versatile programming languages and forms the core of technologies like data science, machine learning, and deep learning. There are a number of reasons which make Python a popular choice for developers. So, if you too are in the league, then this blog is for you. We have a list of popular Python libraries that you will find helpful as a machine learning expert.

Top python libraries:

Here are some of the popular Python libraries that you will be used as a machine learning expert:

• NumPy- The first in our list is NumPy. This library consists of a high-end mathematical function, which makes it very useful. It is used for different works and matrix processing. This finds application in the fundamental scientific computations of Machine Learning. NumPy finds use in some high-end python libraries like Tensorflow. NumPy is used for fundamental scientific calculations.
• SciPy- machine learning stalwarts love to use this Python Library. It has different modules of linear algebra, optimization, statistics, and integration. SciPy forms the core for the SciPy stack. This library also finds use in image manipulation.
• Skikit- It is a popular ML library for conventional ML algorithms. This Python library is based on two preliminary python libraries: NumPy and SciPy. It can be used for both supervised and unsupervised learning. Its library is also used for data mining and data analysis, which makes it a good tool for those who are willing to learn about machine learning.
• Theano- If we talk about machine learning, then we know that mathematics and stats form its core. In fact, it is one of the prerequisites for those who wish to become a machine learning expert. With the help of Theano, this task becomes simplified. It can be used for defining, evaluating, and optimizing mathematical expressions involving multi-dimensional arrays.

This is done by using the CPU and GPU. Theano is used for self-verification and unit-testing to find out different types of errors in the system. This is a powerful Python library that finds use in complex computations. Moreover, it finds application in an intensive scientific project.

• TensorFlow- If you are looking at the high-end Python library, then this is the one to consider. It is used for high-performance numerical computation. TensorFlow has been developed by

This library is used for training and running deep neural networks, which are used in various artificial intelligence applications.

• Keras- This is also a popular Python library. This is a high-level neural networks API which even surpasses TensorFlow when it comes to efficiency in performance. This can operate on both CPU and GPU. If you are beginning to learn about Machine Learning, then this is the tool for you. This can be helpful for machine learning beginners to design and build neural networks. It ensures easier and faster prototyping.
• PyTorch- It is an open-source machine learning for Python. This is implemented in C with a wrapper in Lua. This has a host of tools and libraries that supports Natural Language Processing, Computer Vision, and ML programs. This library is used for computations on Tensors with GPU acceleration. It also helps in creating computational graphs.
• Pandas- This Python library is used for data analysis. Although it is not directly related to machine learning, it finds use in preparing data set before training. Pandas are used for data extraction and preparation. It provides a wide variety of tools for data analysis.
• Matpoltlib- The last Python library on our list is Matpoltlib. This finds application in data visualization. This is a handy tool for programmers who want to visualize the patterns in the data. This tool is helpful in creating 2D graphs and plots.

These are some of the popular python libraries that will be helpful to you while you plan to become a machine learning expert. It's not just machine learning where Python is useful; rather, it finds application in different technologies like Artificial Intelligence, Data Science, and others. To become an expert in Python, you can opt for a Python training and Python certification program.

Conclusion- Global Tech Council offers the best online certificate program in Python. You can opt for the Python Certification program and become an expert in this programming language. For more information, connect with the Global Tech Council today.

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