Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this ML Project, you will use the Avocado dataset to build a machine learning model to predict the average price of avocado which is continuous in nature based on region and varieties of avocado.
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.
Given big data at taxi service (ride-hailing) i.e. OLA, you will learn multi-step time series forecasting and clustering with Mini-Batch K-means Algorithm on geospatial data to predict future ride requests for a particular region at a given time.
In this data science project, you will contextualize customer data and predict the likelihood a customer will stay at 100 different hotel groups.
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.
In this supervised learning machine learning project, you will predict the availability of a driver in a specific area by using multi step time series analysis.
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 machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.