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customer-churn-prediction-using-logistic-regression

Churn prediction means detecting which customers are likely to cancel a subscription to a service based on how they use the service. It is a critical prediction for many businesses because acquiring new clients often costs more than retaining existing ones.

ml-model-for-text-classification

opinion-mining-sentiment-classification-internwork-iim-ranchi

An Exploratory Study to Determine the Sentiment of the Indian OTT Web Series Audience by Applying Opinion Mining using Python as my Intern Work @ IIM Ranchi

taxi-trip-duration-prediction-feature-engineering-and-model-building-using-machine-learning

To improve the efficiency of taxi dispatching systems for such services, it is important to be able to predict how long a driver will have his taxi occupied. If a dispatcher knew approximately when a taxi driver would be ending their current ride, they would be better able to identify which driver to assign to each pickup request. Here we build a model that predicts the total ride duration of taxi trips in New York City.

text-generation---markov-chains

Markov Chains are a mathematical way of representing how systems change over time. Markov chains can be used for basic text generation. Think about every word in a corpus as a state. We can make a simple assumption that the next word is only dependent on the previous word - which is the basic assumption of a Markov chain. To create a Markov Chain , we create a dictionary for a corpus where the keys are the current state and the values are the options for the nest state. We then write a function to randomly generate next terms. Markov chains don't generate text as well as deep learning (LSTMs), but it's a good (and fun!) start.