Machine Learning Project Ideas
What are the 4 basics of Machine Learning?
The four major Machine Learning basics are:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Semisupervised Learning
Is there any real-life example of Machine Learning?
Since Machine Learning and Deep Learning have been growing at the pace of time, there are endless possibilities and real-life examples that are surrounded us, some of them are:
- Image & Speech Recognition
- Medical Diagnosis
- Predictive Analysis
How to start a Machine Learning project?
For any beginner, it is a must to understand that a project must be deployed right from scratch. From finding the problem to creating the solution to train the model. Below are the defined 7 steps that are involved in this phase. They are:
- Data Collection
- Data Preparation
- Training Model
- Analyze/Evaluate
- Serve the Model
- Retrain the Model
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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