This project is focused on the Deployment phase of machine learning. The Docker and FastAPI are used to deploy a dockerized server of trained machine learning pipeline. Attendance prediction tool for ...

Scikits are Python-based scientific toolboxes built around SciPy, the Python library for scientific computing. Scikit-learn is an open source project focused on machine learning: classification ...

This video series will teach you how to solve Machine Learning problems using Python's popular scikit-learn library. There are 10 video tutorials totaling 4.5 hours, each with a corresponding Jupyter ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

About: Python Machine Learning: Scikit-Learn tutorial will help you learn the basics of Python machine learning. You will learn how to use Python and its libraries to explore your data with the help ...

The Scikit-learn Python framework has a wide selection of robust machine learning algorithms, but no deep learning. If you’re a Python fan, Scikit-learn may well be the best option for you among ...

2.2. Scikit-Learn and the Machine Learning Ecosystem. Scikit-learn (Pedregosa et al., 2011) is a general purpose machine learning library written in Python. It provides efficient implementations of ...

Similarly, the Scikit-Learn and TensorFlow libraries are employed for machine learning jobs, and Django is a well-liked Python web development framework. 5 Python libraries that help interpret ...

Python has a vast collection of libraries and frameworks that facilitate data analysis, data visualization, statistical modelling, and machine learning tasks. In this post we use three libraries: ...