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 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 machine learning project, you will develop a machine learning model to accurately forecast inventory demand based on historical sales data.
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- Build a machine learning algorithm that automatically suggests the right product prices.
There are different time series forecasting methods to forecast stock price, demand etc. In this machine learning project, you will learn to determine which forecasting method to be used when and how to apply with time series forecasting example.
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 H2O and functionality in terms of building Machine Learning models.
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.