simonepasci

simonepasci's Stars

• ranaroussi/yfinance

  Download market data from Yahoo! Finance's API

  Language:Python13k2.3k

• capuccino26/MacroTrends-Scraping

  Web scraping and managing data from MacroTrends

  Language:Python196

• bluenote10/PandasDataFrameGUI

  A minimalistic GUI for analyzing Pandas DataFrames.

  Language:Python32366

• jmyrberg/production-scheduling

  Solving an item production scheduling problem with the help of mathematical optimization

  Language:Python4820

• pandas-dev/pandas

  Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

  Language:Python43.3k17.8k

• Alro10/deep-learning-time-series

  List of papers, code and experiments using deep learning for time series forecasting

  Language:Jupyter Notebook2.6k520

• antoinecarme/pyaf

  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

  Language:Python45972

• simonepasci/Importance_Forecastability_Segmentation

  An elaborate approach for ABC-XYZ Analysis

  1

• simonepasci/my-travel-plan

  1

• simonepasci/pdsnd_github

  GitHub project (Project 3) repository for PDSND

  Language:Python1

• simonepasci/Supply_Chain_Project

  This project is a collection of all most important formulas in Supply Chain and non in one repository. formulas are also improved and available to anyone who wants to contribute. Let's have fun!

  Language:Python2

• divyakrishnanps7/Forecasting-future-sales-of-products-and-brands-using-statistical-models

  Language:Jupyter Notebook1

• k4der2rg/NewYork-Taxi-demand-prediction-with-SARIMAX

  Demand time series predictin using SARIMAX statistical model

  Language:Jupyter Notebook3

• adib0073/Importance_Forecastability_Segmentation

  An elaborate approach for ABC-XYZ Analysis

  Language:Jupyter Notebook119