For many businesses to remain competitive it’s critical that they leverage data analysis and AL/ML to improve their forecasting and future sales models. This involves analysis of historical sales data, exploring customer demand, analysing the competition, seasonality patterns, the effect of holidays and promotions, and much more. The objective of this project is twofold. To carry out analysis of the datasets in order to determine the feature characteristics, data reliability, critical details and any weaknesses and/or missing data in the datasets.

This machine learning application predicts which employees are more likely to stay or quit the business. Using models to predict if a staff member is likely to quit can support HR’s ability to be proactive and to take actions to prevent or at least minimise the probability of the employee leaving. Simply input some details and the app will make a prediction and it’s probability. This application is built with Python & deployed using streamlit and Heroku.