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.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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 - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.