Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
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.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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.
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.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
In this Kmeans clustering machine learning project, you will perform topic modelling in order to group customer reviews based on recurring patterns.
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.