Credit Card Approval Prediction
Not everyone can obtain a credit card with ease. The bank decides whether or not to issue a credit card based on multiple factors that demonstrate how trustworthy the person is. And credit scores objectively quantify this trust factor and the amount of risk. So this ML project aims to create an ML model that can find out if an applicant is a ‘good’ or ‘bad’ client for obtaining a credit card. The dataset for this contains data such as annual income, income category, education level, way of living, etc. to decide whether the applicant is suitable for obtaining a credit card or not.
Top 10 Machine Learning Project Ideas That You Can Implement
Machine Learning is one of the most popular emerging technologies in current times! And the best way to learn this technology is by doing projects. Other options like online courses, reading books, etc. only help in understanding the basics of ML, but it is only possible to truly learn the subject by doing projects with real-world data. This article has 10 Machine Learning Project Ideas that you can Implement and in doing so, learn more about Machine Learning than you ever did!
Table of Content
- 1. Titanic Survival Project
- 2. Personality Prediction Project
- 3. Loan Prediction Project
- 4. Stock Price Prediction Project
- 5. Xbox Game Prediction Project
- 6. Housing Prices Prediction Project
- 7. Sales Prediction Project
- 8. Digit Recognizer Project
- 9. Credit Card Approval Prediction
- 10. IMDB Box Office Prediction
Most of these projects have corresponding data sets that are available on Kaggle. You can use these datasets to complete projects and learn some new skills in the field of ML. These projects are well suited to you if you are in the beginner/intermediate phase and still learning more about Machine Learning. In case you want more advanced challenges, you can always find more complex projects on Kaggle. So without further ado, let’s get started with these projects and learn something new!
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