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.
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 talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.
In this machine learning project, you will uncover the predictive value in an uncertain world by using various artificial intelligence, machine learning, advanced regression and feature transformation techniques.
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.
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 machine learning churn project, we implement a churn prediction model in python using ensemble techniques.
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 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.