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.
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.
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.
Text data requires special preparation before you can start using it for any machine learning project.In this ML project, you will learn about applying Machine Learning models to create classifiers and learn how to make sense of textual data.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
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.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
Machine Learning Project in R- Predict the customer churn of telecom sector and find out the key drivers that lead to churn. Learn how the logistic regression model using R can be used to identify the customer churn in telecom dataset.