In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.