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.
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
Data Science Project in R -Build a machine learning algorithm to predict the future sale prices of homes.
In this deep learning project, we will predict customer churn using Artificial Neural Networks and learn how to model an ANN in R with the keras deep learning package.
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.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.