Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.
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, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.
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.
This project analyzes a dataset containing ecommerce product reviews. The goal is to use machine learning models to perform sentiment analysis on product reviews and rank them based on relevance. Reviews play a key role in product recommendation systems.
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 in R -Build a machine learning algorithm to predict the future sale prices of homes.
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.