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 ensemble machine learning project, we will predict what kind of claims an insurance company will get. This is implemented in python using ensemble machine learning algorithms.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
In this machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
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.
In this project, we are going to talk about H2O and functionality in terms of building Machine Learning models.