Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
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 loan prediction project you will build predictive models in Python using H2O.ai to predict if an applicant is able to repay the loan or not.
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 resume parser example we use the popular Spacy NLP python library for OCR and text classification.
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.
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.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.