What are some common AI/ML algorithms to be used on the processed data?
In the context of Artificial Intelligence (AI) and Google Cloud Machine Learning, the processed data—meaning data that has undergone cleaning, normalization, feature extraction, and transformation—is ready for machine learning algorithms to learn patterns, make predictions, or classify information. The selection of a suitable algorithm is driven by the underlying problem, the structure and type of
Why is it important to include the dates on the axes when creating a graph to visualize forecasted data in regression forecasting and predicting?
When creating a graph to visualize forecasted data in regression forecasting and predicting, it is important to include the dates on the axes. This practice holds significant importance as it provides a temporal context to the data being presented, facilitating a comprehensive understanding of the trends, patterns, and relationships between variables over time. By incorporating
What were the three models used in the Air Cognizer application, and what were their respective purposes?
The Air Cognizer application utilizes three distinct models, each serving a specific purpose in predicting air quality using machine learning techniques. These models are the Convolutional Neural Network (CNN), the Long Short-Term Memory (LSTM) network, and the Random Forest (RF) algorithm. The CNN model is primarily responsible for image processing and feature extraction. It is