AI Mission For the DPS Program
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Updated
Feb 21, 2022 - Jupyter Notebook
AI Mission For the DPS Program
Modelos de Previsão de COVID-19 de Machine Learning no Brasil por Regressão Logística de Prophet e Modelo ARIMA com Python e Jupyter - [Pandas, Numpy, Datetime, Plotly.Express, Plotly.Graph_Objects, Matplotlib, Seasonal_Decompose, Prophet & ARIMA]
Univariate time series analysis and modeling project of solar power output in the United States.
This repository is B.Tech. major project on COVID-19 Global and India Forecast
3 years ago, when the COVID-19 virus spread to all corners of the world, the wheels of the economy came to a complete standstill, causing a worldwide Recession. All sectors of the world's economy seemed to be hit by a big storm that caused world chaos. The rapidly spreading COVID-19 has made the world not yet prepared to face the wave of the thr…
An actual RNN/PROPHET model that could forecast crypto price flow (Uncompleted)
Prophet time series forecasting model was developed by Facebook and is a powerful tool for predicting future events. Here's how to use it to forecast & understand your Data
The Green Horizon Project leverages the Prophet algorithm to predict peak sales of organic avocados, supporting the campaign "APEAM GO ORGANIC." Using Python and Looker Studio, this analysis aims to provide deep insight into sales trends and potential, forming the basis of smarter marketing strategies.
The Global Water Scarcity Tracker aims to provide an interactive and visual representation of the current and predicted water scarcity across the globe using predictive modeling and Streamlit.
AI challenge for the DPS program
Kaggle competition on Walmart data
Basic Idea - Predict the price of avocado sold in the US using a historical dataset using Facebook Prophet and visualizations.
제2회 JOISS 해양과학 빅데이터 경진대회 (우수상)
Stock Price Predictor: Leveraging historical data, macroeconomic indicators, LSTM and Prophet models for enhanced stock price forecasting. Analyze trends, patterns, and economic factors to gain insights and make data-driven predictions. Leverage advanced modeling techniques for reliable forecasts.
Time Series Analysis of Covid-19 Dataset
Using Facebook Prophet the analysis of product price trends
Time Series Analysis and FB Prophet Analysis.
In this project, the researcher try to explore the Facebook's Prophet model.Not like general autoregressive model, the y(t) is related by t itself.
Predicting time series using various models.
Sweet Lift Taxi collected airport order data. As a Data Scientist, I developed a model to predict taxi orders for the next hour. The goal is to draw more drivers at peak times, targeting an RMSE under 48 on the test set.
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