Most Common Machine Learning Tasks - Data Analytics

Data Gathering: Any machine learning problem requires a lot of data for training/testing purposes. Identifying the right data sources and gathering data from these data sources is the key. Data could be found from databases, external agencies, the internet etc. Data Preprocessing: Before starting training the models, it is of utmost importance to prepare data appropriately. As part of data preprocessing, some of the following is done: Data cleaning: Data cleaning requires one to identify attributes having not enough data or attributes which are not having variance.