22 results for “topic:nympy”
Lecture materials for scientific application of python
Learning Machine Learning
Create a LUT model from a pair of images.
A simple PyTorch-like tensor library power by NumPy.
No description provided.
This project uses the Yahoo Finance library (yfinance) to fetch and analyze financial data based on a user-provided ticker symbol. The analysis involves calculating the daily percentage variation, saving data to CSV and Excel files, and plotting histograms of daily variations.
Predict the concentration of gold during the gold purification process
The face recognition project.
LaTeX Matrix Calculator. Paste your matrix latex code and view/copy the results.
Get a 14-day weather forecast for a specified location and display it in the console, save it as an HTML file, and send it via email.
Visual Process Automation Framework
Case Study on COVID-19 Dataset
Confirmed , Death & Recoverd Cases across the World.->Insight are as below⬇️ ->maximum number of confirmed cases is in US Region. (us confirmed cases = 1039909(MAX)). ->least confirmed cases are in Yemen Region. (Yemen confirmed cases = 6(MINIMUM)).
This is the prediction for the Species of the Iris based on various parameters on the Iris - Logistic Regression
Attempting to recognize human emotion and affective states from speech
Data Analysis and Regression Model
No description provided.
In this, I have covered about introduction to numpy library in python. Here you will find the defination, installation, and basic examples of Nympy.
learning_projects
Ce dépôt rassemble tous mes analyses statistiques , de données sur python. Dans ce dépôt contiendrait des packages matlobtlip, seaborn, pandas, etc.....
Animation of superimposition of two sine waves with different parameters
This repository contains a mathematical model of a pizzeria that simulates its operations. The model allows for analyzing various aspects of the pizzeria's workflow, such as order processing, pizza preparation, and customer service. Additionally, an analytical model is included for detailed data analysis. Libraries used Pandas, NumPy, Matplotlib