Transaction data is a type of data that is commonly used in machine learning, particularly in the field of fraud detection. Transaction data refers to information about financial transactions, such as the date, time, amount, and location of a transaction, as well as the parties involved in the transaction. This type of data is often used to train machine learning models that can identify patterns and anomalies in transaction data, and can be used to detect potential fraud or other suspicious activity.
REST APIs provide straightforward access to remote data sources. Data scientists should learn about REST APIs because APIs (Application Programming Interfaces) are an important way for data scientists to access data from other sources. By using REST APIs, data scientists can access data from a wide range of sources, including databases, web services, and other … Read more
