LINUX DO Lottery
Welcome to the repository for my internship project where i had the incredible opportunity to dive deep into data analytics using Python, where I honed my skills, tackled real-world challenges. This repository encompasses all the tasks in order which i completed during my summer internship.
Projeto dedicado a investigar os incêndios florestais no Brasil durante o ano de 2024. Através da análise de dados climáticos e informações sobre o risco de fogo, o projeto busca compreender como variáveis como dias sem chuva e precipitação influenciam a ocorrência de incêndios.
This project focuses on time series analysis and forecasting of power consumption using various models such as Holt-Winters (additive and multiplicative) and Auto ARIMA. The dataset includes timestamps, power consumption (kW), and temperature (°C) over a period of 52 days, with a 15-minute interval between observations.
List of papers, code and experiments using deep learning for time series forecasting
Je vous propose un code R de l'étude de serie temporelle diffrente
🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.
Acycle: Time-series analysis software for research and education
List of papers, code and experiments using deep learning for time series forecasting
A boxplot implemented with javascript and rendered with HTML and CSS
Constructed time series analysis and recurrent neural networks in GDP prediction under the global pandemic. Grasped data from remote data access, added in employment rate, cases of infection and indices for better representation, evaluation and optimization.
A simple Time Series Analysis module for humans ⏰
Machine learning model for a forecast of taxi orders in the next hour
Neste repositório será feita uma análise e modelagem de séries temporais das ações da magalu
We have created 14 tutorial pages for you to learn more about Pandas. Starting with a basic introduction and ends up with cleaning and plotting data:
TP Série temporelle
web-scraping-on-ucop_legislative_reports
A React.js + Flask + MongoDB web application that details information on the Coronavirus, including datasets, news, a time series analysis, and vaccine distribution information. Utilizes 6 APIs in order to fetch and present data via a user friendly interface. Utilizes Chart.js & D3.js for mapping and dynamic visualizations.
Performed analysis on covid-19 italy dataset
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