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 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.
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.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.