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.
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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.
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 R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.