Marcel Otavio Cerribioprocess.hashnode.dev·Nov 14, 2024Regressão Linear em PythonNeste artigo, vamos aprender um pouco sobre regressão linear em Python, explorando conceitos básicos e desvendando códigos que te levarão entender essa ferramenta. Estes conhecimento pode abrir portas para a análise de dados e a construção de modelos...DiscussPython
ByteScrum TechnologiesforByteScrum Technologiesblog.bytescrum.com·Nov 10, 2024How to Use Python for Easy Image Transformation and Person ReplacementReplacing a person in an image with another image using Python is a common technique in photo editing, AI, and computer vision projects. This process usually involves detecting the subject in the image, removing or masking it, and then inserting the ...Discuss·34 readsPythonPython
Sutapa Biswassutto.hashnode.dev·Nov 7, 2024Numpy for Data Analysis (Learn what Matters)Numpy NumPy is a powerful Python library essential for numerical computing, especially useful in scientific and data analysis tasks. It provides a flexible, efficient array object called ndarray, which allows for fast operations on large arrays and m...Discussnumpy
Anix LynchProanixblog.hashnode.dev·Nov 5, 2024Linear RegressionLinear Regression Math Suppose we have a small dataset of points showing the relationship between study hours ( \( x \) ) and test scores ( \( y \) ): Study Hours \( x \)Test Score \( y \) 12 23 35 We want to find the line of best fit to p...Discusslinearregression
Chinmaya Meherckmeher.hashnode.dev·Oct 29, 2024Numpy Random: A Key Tool for Data Science ApplicationsIntroduction to NumPy NumPy, short for Numerical Python, is a foundational Python library essential for numerical and scientific computing. It introduces a powerful data structure, the array, which is more efficient than Python lists for handling lar...DiscussData Science
Ashmit Kantiashmitandcoding.hashnode.dev·Oct 24, 2024All about Pandas and NumpyNumpy NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Guide to Numpy: - NumPy user...Discusspandas
Cyber Michaelacybermichaela.hashnode.dev·Oct 20, 2024NumPy Tutorial: Basic to Advance1. Introduction to NumPy NumPy (Numerical Python) is the fundamental package for scientific computing in Python. It provides support for large, multi-dimensional arrays and matrices, along with a wide variety of high-level mathematical functions to ...DiscussPython
Sai Sravanthisaisravanthi.hashnode.dev·Oct 12, 2024Using Python for Data Analysis: Libraries and Best PracticesPython has become the go-to language for data analysis due to its simplicity, versatility, and powerful libraries. With an active community and extensive documentation, it enables both beginners and experienced analysts to manipulate, analyze, and vi...DiscussPython
Shivanshi Singhshivanshi770.hashnode.dev·Sep 30, 2024Getting Started with NumPy for Data ScienceNumPy (Numerical Python) is a powerful library for numerical computing in Python, widely used in data science for its efficiency in handling large datasets and mathematical operations. In this article, we’ll explore the basics of NumPy, its importanc...Discussnumpy
Sabin Gairetime-series-projectsp-500-case-study.hashnode.dev·Sep 30, 2024S&P 500 Stock Market Time Series Case StudyIn this blog post, I'll walk you through a Python-based data analysis project where I explore stock data for four major tech companies: Apple (AAPL), Amazon (AMZN), Google (GOOGL), and Microsoft (MSFT). Using tools like Pandas, NumPy, Matplotlib, Sea...DiscussPython 3