Machine intelligence which was formally called as artificial intelligence has become the talk of town that refers to the intelligence exhibited by the intelligent computers and machines. A traditional set of machine intelligence algorithms have been developed and implemented in different phases of application areas such as for security purposes, for customer churn prediction, etc., where it is seen that the traditional experiments are more time-consuming and expensive, and hence, development of several modern methods have been done in order to compensate for the losses. With the vast expansion of online customer service providers, customer acquisition and customer retaining have become important. This phenomenon is called customer churn prediction where the phenomenon where the customers quit from the services of the company. This paper provides machine intelligence-based algorithms for all the customer churn predictions in different applications and its current scenario. It provides insights into the recently proposed machine intelligence algorithms and provides a comparative analogy among different algorithms that have been used in the previous years. It gives an enhanced comparison among algorithms and provides analysis of the same. This paper concludes that substantial outcomes have been given by the machine learning-based algorithms in customer churn prediction.