To start making a Machine Learning Project, I recommend following these steps:
- Learn the basics of the Python programming language that you can use in your project.
- Learn the fundamentals of Machine Learning through an online course
- Understand your Machine Learning problem: Understand the problem statement and identify the input and output of the problem.
- Get a reliable dataset from Kaggle for your problem.
- Clean the data and process the data so that it can come into a suitable form.
- Identify a suitable algorithm(s) to your problem statement.
- Build the model on train dataset and fit on the validation dataset before fitting on test data
- Use appropriate performance metrics to validate your model.
- Present your results.
If you want to learn and implement Machine learning projects, then enroll in this Machine Learning Certification by Intellipaat which has experienced instructors, best curriculum, and projects.
Also, watch this video on Machine Learning project:
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