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.
Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.
Data science project in R to develop automated methods for predicting the cost and severity of insurance claims.
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.
Deep Learning Project- Learn about implementation of a machine learning algorithm using autoencoders for anomaly detection.
In this data science project, we will predict the credit card fraud in the transactional dataset using some of the predictive models.
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 machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
In this project, we are going to work on Sequence to Sequence Prediction using IMDB Movie Review Dataset using Keras in Python.