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.
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 machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales 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 machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this data science project, you will predict borrowers chance of defaulting on credit loans by building a credit score prediction model.
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.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
In this project you will use Python to implement various machine learning methods( RNN, LSTM, GRU) for fake news classification.
In this machine learning and IoT project, we are going to test out the experimental data using various predictive models and train the models and break the energy usage.