Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
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.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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 data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
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.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.