You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A system that is capable of automatically irrigating the agricultural field by sensing the parameters of soil in real-time and predicting crop based on those parameters using machine learning. The system also predicts the yield of the crop.
Now its time to work on a Project based on a real life Business Problem. In this Project, we will be using all the skills that you have acquired throughout this course. Problem Statement Your client is a retail banking institution. Term deposits are a major source of income for a bank
This project uses supervised machine learning techniques with multiple regression models to predict CO2 emissions in Canada, it includes data cleaning, encoding, analyzing and visualization to identify patterns, resulting in a model that can make accurate predictions.
The project deals with determining and predicting the type of accident taking place in the city of Austin. The data would help in understanding what possible factors are leading to the accidents based on the severity of the incident that has occurred.
ASERSA is an agent-based system built on the Dynamic Force Index Algorithm (DFIA), simulating interactions in real-time using socio-economic attributes like wealth, influence, ambition, and competence. The system features a 3D interactive GUI for visualizing agent interactions and allows real-time adjustments of key parameters.
This project showcases a vision-based helmet and travel lane detection system for cyclists. The technology can act as a monitor to see if the cyclist is using his or her designated lane and wearing a helmet.
Comparing four different Deep Learning and machine Learning Algorithms to build a Spam Detector to identify unsolicited and unwanted emails. Exploring the process of classifying emails as spam or not spam by converting text data(emails) into vectors and Evaluate their performance