What are the various steps involved in an analytics project?
1.Understand the business problem and convert it into a data analytics problem. 2.Use exploratory data analysis techniques to understand the given dataset. 3.With the help of feature selection and feature engineering methods, prepare the training and testing dataset. 4.Explore machine learning/deep learning algorithms and use one to build a training model. 5.Feed training dataset to the model and improve the model’s performance by analyzing various statistical parameters. 6.Test the performance of the model using the testing dataset. 7.Deploy the model, if needed, and monitor the model performance.
