Read about the top 10 Python Libraries for Machine Learning which will help you enable the development of efficient programs for ML Models along with their pros and cons.

In this blog on ‘Top 10 Python Libraries for Machine Learning,’ we will discuss the following:

• Introduction to Python for Machine Learning
• Benefits of Using Python
• Pandas
• Matplotlib
• Scikit-Learn
• NumPy
• TensorFlow
• Keras
• Theano
• PyTorch
• SciPy
• Seaborn

Introduction to Python for Machine Learning

In the 21st century, most of the applications developed by companies are somehow built using Artificial Intelligence, Machine Learning, or Deep Learning that uses Python Machine Learning library. Usually, AI projects are distinct from conventional projects in the software industry. Variations in development approaches lie in the application framework, the necessary skills needed for the AI-based application, and the need for in-depth analysis.

Hence, one of the important factors involved in developing AI-based applications is the use of a suitable programming language. We should employ a programming language that is efficient in making the applications stable and extensible. For this, companies use the Python programming language as it offers a lot of libraries and packages for the development task, and hence, it is widely used for working on AI-based projects.

#python #machine-learning #numpy #tensorflow #pytorch