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.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.
Machine Learning Project - Work with KKBOX's Music Recommendation System dataset to build the best music recommendation engine.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
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.
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.