This project uses the yfinance library to fetch real-time stock data and the Prophet library to make predictions. The goal is to create a model that can accurately forecast stock prices based on historical data.
-
Updated
Sep 1, 2024 - Python
This project uses the yfinance library to fetch real-time stock data and the Prophet library to make predictions. The goal is to create a model that can accurately forecast stock prices based on historical data.
Predict river flow rates based on historical data
Amazon SageMaker Local Mode Examples
MLOPS folder for SNAPE deployment
Code by @drasbaek and @MinaAlmasi for the exam in "Data Science, Prediction, and Forecasting" (F2024) at the Cognitive Science MSc.
Forecasting the price of Bitcoin’s during or post 2024 halving using Facebook Prophet
AQI Forecaster web app using Machine Learning
Autoregression model for predicting results on metrics and Cohort analysis.
Built river water level prediction system in Final Project at Telkom University
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.
An actual RNN/PROPHET model that could forecast crypto price flow (Uncompleted)
LSTM, Prophet, and ARIMA models
Build a basic time series model to predict stock prices and Deploy using FastAPI to AWS EC2
A Python tool to forecast Google Analytics data using several popular time series models.
Forecasting the energy consumption of Ecole Polytechnique's start-up incubator building.
This Shinyapp does some basic analysis on the indices of Dhaka Stock Exchange. The future values of the indices are also forecasted using the Prophet forecasting procedure.
Hybrid anomaly-based intrusion detection system
Add a description, image, and links to the prophet-model topic page so that developers can more easily learn about it.
To associate your repository with the prophet-model topic, visit your repo's landing page and select "manage topics."