Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
Data Science Project in Python- Build a machine learning algorithm that automatically suggests the right product prices.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
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 data science project, you will learn how to perform market basket analysis with the application of Apriori and FP growth algorithms based on the concept of association rule learning.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.