Machine learning is known as the emerging technologies in current times and an ideal way of learning this technology is by doing various projects. There are other options like online courses, reading books which helps in understanding the basics of ML. However, it is possible to learn about the subject by doing projects with real-world data. So, most of these projects have corresponding data sets that are available on Kaggle. You can use these datasets to complete the projects and learn some new skills in the field of ML. Below are the steps in machine learning project ideas.

Titanic Survival Project

Predicting Titanic Survivors With Machine Learning - YouTube

This is a beginner’s project on Kaggle which is best for you if you are just getting started with ML projects. This deals with the Titanic disaster which is one of the most famous in marine history. All you have to do in the project is predict which passengers survived the Titanic shipwreck which is based on data such as their age, gender, socio-economic class. So, you can use the titanic dataset on Kaggle for this project, and for making things more interesting, this dataset will contain real data based on the people who died and survived the actual Titanic disaster.

Personality Prediction Project

Try to imagine how interesting it would be to reading the posts which are written by people online and be able to understand their overall personality. It would solve a lot of confusion on the internet. This machine learning will aim to find Myers Briggs personality of a person based on the types of posts they put on social media, Myers Briggs type indicator is a personality identification system which divides a person into one of 16 personalities based on introversion, intuition, thinking and perceiving capabilities. This dataset is best known for machine learning project ideas.

Loan Prediction Project

Predicting Loan Repayment. Introduction | by Imad Dabbura | Towards Data Science

It is not at all easy for getting a loan from a bank. Getting a loan approved requires a complex mix of factors not the least of which is a steady income. This project aims for creating a model that will classify how much loan the user can obtain based on various factors such as the user’s marital status, income, education, employment prospects, number of dependents. The loan prediction data set provides about all these factors which can then be used for creating an ML model that demonstrates the amount of loan which can be approved.

All of these ML project ideas are great options if you are just starting in machine learning or if you know the basics and need more practice. Hope that I have covered all the topics in my article about machine learning project ideas. Thanks for reading!