In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.
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.
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 data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
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.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.