Data is the most powerful weapon in the world today. Technological advances in  data science and artificial intelligence allow machines to now have the ability to make decisions and add value for companies. This is where data mining comes in. This technology helps businesses and businesses analyze useful user data. But where do you start practicing your skills? Here are some cool ideas for your data mining project. This article explains what data mining is, 10 data mining projects for students, and  data mining applications.

Amazing Data Mining Projects Ideas:

1) Fake news detection

With the onset of the technological revolution, users' easy access to the Internet has made fake news more likely to spread like  wildfire.
In this project, you will learn how to classify news as real or fake. It will also be one of the best data mining projects for presenting project presentations. We will use PassiveAggressiveClassifier to accomplish the above function.

Link to dataset

2)  Phishing site detection

Recent technological advances have created an opportunity for e-commerce sites to evolve, and most  users have started shopping online and are required to provide  sensitive information such as bank details, username, password, etc. Scammers and cybercriminals use this opportunity to create fake sites that look  original and collect sensitive user data. In this data mining project, we develop algorithms to detect phishing sites based on  characteristics such as security and encryption criteria, URL, domain identification, etc.

Link to dataset

3) Diabetes Prediction

Diabetes is one of the most common and dangerous diseases on the planet. Controlling the disease requires careful management and appropriate medication. In this data mining project, you will learn how to design a classification system for determining whether a patient has diabetes. In this project, you will learn about decision trees, naive Bayes, SVM computing, and more.
Link to dataset

4) House Price Prediction

This data mining project uses data science techniques such as machine learning to predict the value of a house in a specific location. The project finds applications in the real estate industry to predict house prices based on historical data such as the location and size of houses and nearby properties.
Link to dataset

5) Credit Card Fraud Detection

Along with the increase in online transactions, credit card fraud has also increased. Banks are trying to solve this problem using data mining technology. In this data mining project, we use Python to create a classification job that analyzes previously available data to detect credit card fraud.
Link to dataset

6) Parkinson's disease diagnosis

Data mining techniques are widely used in the healthcare industry to provide quality care by analyzing patient medical records. In this data mining project, you will learn how to predict Parkinson's disease using Python. This project works with a dataset from UCI ML Parkinson.
Link to dataset

7) Animation Recommendation System

This is one of my students' favorite data mining project ideas. This project data set contains  user preference information for 73,516 animation users and 12,294 users. Each user can add animations to the finished list and give them ratings, and this dataset is a compilation of those ratings. The goal of the project is to create an effective animated recommendation system based solely on a user's browsing history.
Link to dataset

8)  Classification of mushrooms

This dataset contains details of hypothetical specimens from 23 species of gill fungi of the families Agaricus and Lepiota, taken from the Audubon Society's Field Guide to North American Fungi (1981). Each type of mushroom  is  definitely edible, is definitely poisonous, or has unknown edible properties and is therefore not recommended. This last category is combined with toxic substances. Evidence suggests that there is no simple rule to determine whether a mushroom is edible. For oak and ivy, there is no such thing as "three flyers, leave it alone".
Link to dataset

9) Data on solar energy production

This data was collected from two solar power plants in India over a 34-day period. It has two pairs of files, each pair has one set of power generation data and one set of sensor reading data. The power generation data set is retrieved at the inverter level, with multiple solar panel lines connected to each inverter. And  sensor data is retrieved at the enterprise level from a  single sensor array  optimally located within the enterprise.
I am concerned about the solar power plant.
Can you predict the amount of power generation over the next few days?

Can you determine the importance of panel cleaning/maintenance?

Can you identify faulty or suboptimal equipment?
Link to dataset

10) Heart disease prediction

Heart disease is one of the most common diseases. Careful treatment is required to make a diagnosis. In this data mining project, you will learn how to design a system to determine whether a patient has heart disease. In this project, you will learn about decision trees, naive Bayesians, SVM computations, and more.

Link to dataset

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