Air Passengers Forecasting with ARIMA
Decompose the classic Air Passengers time series, identify trend and seasonality, fit an ARIMA model, and forecast 12 months ahead.
Open analysis →Analysis category
Time Series
Ready-to-run examples generated from notebook workflows.
Apple Stock Price Analysis in Python
Load Apple stock price data, compute moving averages, calculate daily returns, visualize volatility, and compute the Sharpe ratio.
Open analysis →Bitcoin Returns and Volatility Analysis
Analyze Bitcoin historical returns, compute log returns, measure drawdowns, and detect volatility regimes.
Open analysis →Energy Consumption Forecasting with Prophet
Analyze hourly energy consumption data, explore daily and weekly patterns, and build a forecasting model using Prophet.
Open analysis →Time Series Anomaly Detection in Python
Detect anomalies in a time series using rolling z-score and Isolation Forest, then visualize flagged points.
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