Project Abstract: Background: Breast cancer is one of the most prevalent forms of cancer worldwide,…
Tag: Machine_Learning
CIFAR-102: A Novel Breast Cancer Detection Model Using Fine-grained Image Classification Techniques on Histopathological Data
Project Abstract: Background: Early and accurate detection of breast cancer is crucial for effective treatment and improved patient outcomes. Recent…
Car Price Prediction Using Advanced Machine Learning Techniques for Transparent and Data-driven Decision Making in the Automotive Industry
Project Abstract: Background: Car price prediction plays a pivotal role in the automotive industry, assisting buyers, sellers, and manufacturers in…
Advanced Car and Pedestrian Tracker Using Machine Learning Techniques for Enhanced Traffic Monitoring and Safety
Project Abstract: Background: Traffic monitoring and pedestrian safety are critical aspects of modern urban transportation systems. With the increasing availability…
Customer Segmentation through Advanced Machine Learning Techniques for Personalized Marketing Strategies
Project Abstract: Background: Customer segmentation is a crucial marketing technique that enables businesses to target their marketing efforts to specific…
ML : CNN vs FCN : Describing on the basis of spatial structure of the image data
Spatial structure of image data: This refers to the way that the parts of an image are arranged and related…
Beef Analysis using Machine Learning – Solving A Simple Classification Problem with Python
Classification problems are a common task in machine learning that involves predicting the class of an object based on its…
Regression Diagnostics for Seattle Hotels Recommender
Recommender systems are a popular application of machine learning that suggest products or services to users based on their preferences…
Promotional Time Series Forecasting using Machine Learning
Time series forecasting is a common task in machine learning that involves predicting future values of a time series based…
National Health and Nutrition Examination Survey (NHANES) Confidence Intervals using Machine Learning
The National Health and Nutrition Examination Survey (NHANES) is a program of studies designed to assess the health and nutritional…
Linear Model and XGBoost for Predictive Modeling using Machine Learning
Predictive modeling is a common task in machine learning that involves using data to predict an outcome or variable of…