Housing Prices Prediction Project
There are a lot of factors that determine the price of a house including its location, size, number of rooms, etc. But people ignore many of these factors while buying or selling a house. That’s where this machine learning project comes in! It provides many factors for the house like its frontage, area, street, land contour, utilities, proximity, garage quality, roof materials, etc. with the ultimate aim of predicting the final price of the house based on these factors. You can get the Housing Prices Prediction Project dataset for Kaggle and use it to create an ML algorithm that can accurately predict house prices based on these factors.
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!