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Jupyter Notebooks for Machine Learning Lab for the syllabus of the Visveswaraya Technological University. Contains Jupyter Notebooks of 10 different Machine Learning programs and algorithms ranging from extremely basic to intermediate.
This project contains exploratory data analysis (EDA) and visualization of various datasets. The goal is to extract meaningful insights and present them in a visually appealing manner.
Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.
Repository contains the detailed implementation of numpy with each and every required functions. A beginer data scientist can start learning numpy using this notebook.
This repository contains tutorial exercises for the following scientific computing libraries: NumPy, SciPy, Matplotlib, and Pandas. These exercises were completed using Jupyter notebooks for exhibitionary purposes.
Este notebook Python tem como objetivo analisar os dados do ENEM 2021, com foco na identificação de padrões dos participantes na prova de Ciências da Natureza. A análise será realizada utilizando as bibliotecas Pandas, Matplotlib e Seaborn.
Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.
This notebook delves into the core concepts and operations of NumPy, a powerful library for numerical computing in Python. NumPy provides the foundation for scientific computing in Python, offering high-performance multidimensional array objects and tools for working with these arrays.