In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
Data Science Project - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this data science project in R, we are going to talk about subjective segmentation which is a clustering technique to find out product bundles in sales data.
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.