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.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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 deep learning project, you will build a classification system where to precisely identify human fitness activities.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
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.
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.