Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
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.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this time series project, you will build a model to predict the stock prices and identify the best time series forecasting model that gives reliable and authentic results for decision making.
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.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
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 work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
Build your own image similarity application using Python to search and find images of products that are similar to any given product. You will implement the K-Nearest Neighbor algorithm to find products with maximum similarity.
Music Recommendation Project using Machine Learning - Use the KKBox dataset to predict the chances of a user listening to a song again after their very first noticeable listening event.