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, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
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 project, we are going to work on Deep Learning using H2O to predict Census income.
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 ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
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.