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.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
In this ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
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 machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.