iamshaju007

ANOMALYDETECTION

This project detects anomalies in time series data using the Isolation Forest model. It processes and analyzes uploaded data, highlights unusual patterns, and visualizes results through static and interactive graphs. Built with Python and Streamlit, it ensures efficient anomaly detection and reporting.

cprogramming

LSTM-stock-price-pediction

This is a basic LTM model to predict stock price using machine learning

monsterhunt

practice code for monster hunt

SCI_FI_WORLD

iamshaju007/SCI_FI_WORLD

iamshaju007/ANOMALYDETECTION

This project detects anomalies in time series data using the Isolation Forest model. It processes and analyzes uploaded data, highlights unusual patterns, and visualizes results through static and interactive graphs. Built with Python and Streamlit, it ensures efficient anomaly detection and reporting.

iamshaju007/monsterhunt

practice code for monster hunt

iamshaju007/LSTM-stock-price-pediction

This is a basic LTM model to predict stock price using machine learning

iamshaju007/cprogramming