In this project, we are going to work on Deep Learning using H2O to predict Census income.
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 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.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
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 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.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.