In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
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 Python- Given his or her job role, predict employee access needs using amazon employee database.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.
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.
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.