Amazon SageMaker Local Mode Examples

A Python tool to forecast Google Analytics data using several popular time series models.

Forecasting the price of Bitcoin’s during or post 2024 halving using Facebook Prophet

A lightweight app to load time series data, forecast the future using Facebook Prophet, and visualize results with Streamlit.

An intelligent stock Price prediction platform built with Python & Flask. Fetches historical/fundamental data, applies Prophet time-series forecasting & technical indicators, and delivers easy-to-understand prediction reports.

Built river water level prediction system in Final Project at Telkom University

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.

Demand Forecasting Project A web application for predicting future demand for part numbers based on historical data. Built with React for the frontend and FastAPI with Python for the backend, this application visualizes demand trends and allows users to input additional data for improved accuracy. In render analyzer is frontend analysis is backend

Forecasting the energy consumption of Ecole Polytechnique's start-up incubator building.

LSTM, Prophet, and ARIMA models

Autoregression model for predicting results on metrics and Cohort analysis.

Automates forecasting for ClickHouse time series tables using Prophet and stores results in forecasted output tables.

This project analyzes transaction data and generates forecasts using machine learning models like ARIMA, Prophet, and others. It outputs forecasted data, visualizations, and saved models for further analysis.

Code by @drasbaek and @MinaAlmasi for the exam in "Data Science, Prediction, and Forecasting" (F2024) at the Cognitive Science MSc.

A Prophet-based model analyzing construction project delays using external regressors, forecasting delays, and predicting final completion dates.

Portfolio to showcase skills and quality of work. I've used raw data of Walmart sales used in a Kaggle coding competition.

Hybrid anomaly-based intrusion detection system

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.

SmartMon is an AI-powered system monitoring dashboard built with Streamlit. It displays real-time system metrics (CPU, RAM, Disk), detects anomalies using Isolation Forest, and predicts CPU usage with Prophet.