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.
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 - Build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.
In this deep learning project, you will build a classification system where to precisely identify human fitness activities.
In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this machine learning resume parser example we use the popular Spacy NLP python library for OCR and text classification.
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.
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.
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.