numpy-library

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.

⛏ 数据挖掘相关知识、笔记及代码。包含 Jupyter、Matplotlib、Numpy、Pandas

This repository showacase my Numpy Notebook Work

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.

Jupyter Notebook Pandas refresher projects

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.

This is my courses notebook

Using this notebook we can learn simple NUMPY for Data science and Machine learning

Repository contains the detailed implementation of numpy with each and every required functions. A beginer data scientist can start learning numpy using this notebook.

Supervised Machine Learning | Neural Network | Jupyter Notebook | Python | Scikit library

This repository consists of jupyter notebook file which explains about Numpy .

Simple Data mining and visualization using Jupyter Notebook on World Development Indicators

This repository is containing exercise notebooks for pandas, Numpy and Matplot libraries. The exercises are all working on real life data.

A basic artificial neural network built only using NumPy library to classify flowers from the Iris data set on a Juypter 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.

This project analyzes COVID-19 data in India using a Jupyter Notebook for data cleaning, visualization, and statistical modeling. It includes a PowerPoint with key findings and an Excel dasard for interactive exploration, aiming to provide insights for public health decisions.

This project involves analyzing a real-world dataset from Kaggle to explore the Accidents in US. Using Pandas and NumPy for data preparation and cleaning, followed by Matplotlib and Seaborn for visualization, key insights were regarding monthly yearly, and also area wise temporal patterns. The detailed analysis is documented in a Jupyter Notebook.