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.
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.
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.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
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.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.