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.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
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, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
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.