Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
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.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
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 project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.