In this repository I've compiled a series of exercises that I completed to deepen my understanding of essential Python libraries for data analysis: NumPy, Pandas, and Matplotlib. Through these ...

Welcome to the course where you will learn about the NumPy stack in Python, which is an important prerequisite for deep learning, machine learning, and data science. In this self-paced course, you ...

NumPy: NumPy is a robust Python numerical computing toolkit that includes a collection of tools for working with arrays and matrices. It has many applications in scientific computing, data analysis, ...

In recent years, these projects caused the creation of many working places for programmers interested in open-source development. Naming the most popular such open-source projects written in Python, ...

TensorFlow, an open-source machine learning framework developed by Google, facilitates the creation of neural networks for tasks such as image and speech recognition. Its applications range from ...

This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based approach to help you to learn how to clean ...

With crucial libraries like TensorFlow, PyTorch, Hugging Face Transformers, Django, Flask, and FastAPI, Python empowers developers to innovate in herbal language processing and net development domains ...