Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
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.
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 machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.