Regression analysis is used to predict continuous outcomes from the given data. It uses features from data to fit a line that models the relationship Regression also helps us understand how the features influence a target variable. The Target value…
To create a model, you need a dataset. And to train the model, you need data. So you split the given dataset into The % of split can be defined by you but usually it’s around 80-20 split. You will…
Its all about training various models on labeled data to make predictions. Goal of supervised learning is to make accurate predictions on unseen data. There are 2 types of supervised learning Few basics terminologies: Features are nothing but inputs. Sometimes…