1. Gathering Data:
• Data Gathering is the first step of the machine learning life cycle. The goal of this
step is to identify and obtain all data-related problems.
• In this step, we need to identify the different data sources, as data can be
collected from various sources such as files, database, internet, or mobile
devices. It is one of the most important steps of the life cycle. The quantity and
quality of the collected data will determine the efficiency of the output. The more
will be the data, the more accurate will be the prediction.
• This step includes the below tasks:
• Identify various data sources
• Collect data
• Integrate the data obtained from different sources
• By performing the above task, we get a coherent set of data, also called as
a dataset. It will be used in further steps.
Vandana Rai supported this idea ·
1. Gathering Data:
• Data Gathering is the first step of the machine learning life cycle. The goal of this
step is to identify and obtain all data-related problems.
• In this step, we need to identify the different data sources, as data can be
collected from various sources such as files, database, internet, or mobile
devices. It is one of the most important steps of the life cycle. The quantity and
quality of the collected data will determine the efficiency of the output. The more
will be the data, the more accurate will be the prediction.
• This step includes the below tasks:
• Identify various data sources
• Collect data
• Integrate the data obtained from different sources
• By performing the above task, we get a coherent set of data, also called as
a dataset. It will be used in further steps.