Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.
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.
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.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
Data Science Project in Python- Given his or her job role, predict employee access needs using amazon employee database.
In this project, we are going to work on Deep Learning using H2O to predict Census income.
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, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.
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.
In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties will influence the quality of red wines.