Machine learning steps

We will look at the different features of machine learning in the following steps:

1. Gathering data: Well, this step you have seen and heard of many times. It is about ingesting data from multiple data sources for your machine learning steps to use. For machine learning, quality of data and quantity of data both matter. Therefore, this step is crucial.
2. Preparing the data: In this step, after performing the previous step of gathering data, we load our data into a suitable place and prepare it for use in our machine learning processes.
3. Choosing a model: In this step, you get to decide which algorithm to choose and what kind of problem you are trying to solve. So, you decide whether a particular class of problems belongs to classification, regression, or forecasting. The type of algorithm you choose to apply will be based on trail and tuning basis.
4. Training: In this step, we actually train our models on bulk data. Here, you first perform data sampling (downsample or upsample...