Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
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 deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.