The previous blog post discusses three common patterns for extracting feature from IoT sensor data: Window-based descriptive statistics Seasonal pattern Trend pattern This blog post introduces how to implement those three patterns in Python. Window-based descriptive statistics There are three main types of descriptive statistics based on what they describe: distribution (e.g., skewness and kurtosis), … Continue reading Extracting Features from IoT Sensor Data using Python →