This project aims to use algorithms and techniques to forecast price of houses using a variety of housing datasets. It is intended for real estate companies.
It's an online intelligent health system that provides the user with medical guidance immediately. It contains complete information about symptoms and diseases associated with it.
2. Smart Health Disease Prediction Using Naive Bayes
It enable consumers to differentiate between original and counterfeit products. Furthermore, it assists brands in combating piracy as well as helping users combat forged products.
It allows anyone in database to add anime and share ratings, creating a data set with those ratings. It creates efficient data based on user's viewing history and sharing ratings.
It detects, evaluates, and analyzes global terrorism data and flags it for human review. It helps to identify unorganized and unstructured pages or data that promote terrorism.
Many top-notch companies, like Amazon & Netflix, use this system to recommend movies to their customers. You can choose between two approaches for this movie recommendation project.
Python is used to detect breast cancer in this project. IDC_regular dataset helps in detecting the most common type of breast cancer, Invasive Ductal Carcinoma.