Machine Learning Projects for final year | ML projects Ideas | Total Tech

Best Machine Learning Projects

You know how artificial intelligence and machine learning reach the world and these are the future. They help solve many problems and many companies like Google, Facebook, Youtube, Netflix, Amazon, and many more companies have a high demand for people who know artificial intelligence and machine learning.

There we will discuss artificial and machine learning projects. These projects are done by the employees of those companies. They all want different things that are possible with machine learning like recommendation systems, time series, etc.

Why do we have to do machine learning projects?

• You have to do machine learning projects to check your skills and abilities. If you do machine learning projects, so you have to face many problems and errors, then you will try to solve all the problems and errors. If you solve all these problems and errors, in the future, if you face any of the same problems so you can easily solve that problem, then it improves your skills and abilities.
• If you go for an interview where you can show your machine learning projects to your interviewer, hence you can easily explain yourself to your interviewer there he can easily understand your skills. After he sees your projects so he knows how you can help him and he confirms that the skills you have written in your resume are right, then your interviewer was impressed with you then it has a high probability to hire you only.
• These machine learning projects helped you for your college, there you can submit your machine learning project in your college. These machine learning projects helped you to get admission to colleges and these machine learning projects helped you to get degrees.

Which machine learning projects do you have to do?

• You have to work on unique machine learning projects. When you go for an interview where you show your unique machine learning projects, he has an interest in your projects because he was bored to see the same and similar projects. If he sees some unique machine learning project he understands that you have some talent, so he has the interest to see your machine learning project.
• If you work on real-world machine learning projects that help to solve any real problems with the help of machine learning, it will attract and understand projects to your interviewer. The real-world machine learning projects have many advantages like This project helped to solve real-world problems, and this project helped to clarify your skills to your interviewer.
• You can target people who work on Google, Facebook, Youtube, any other platform. Then you have to see their resume there. You have to see their project section where you get more ideas, after seeing their machine learning projects you work on those projects then you can do any changes, include more features, and mix the projects then create much more.

Platforms to get their resumes for machine learning projects?

There are many platforms to get their resumes as you can resume from social media, linked in, and GitHub, etc. On those platforms, you can search your college friends, any google employee. After searching their profile you have to search their resume, Then you can easily see their projects.

Machine learning project ideas for beginners.

All these machine learning projects are the best and we recommended them. These machine learning projects were unique, real-world, and done by Google, Youtube, Netflix, Amazon, and Facebook companies employees. After doing all these projects we have high chances to get a data scientist job on those platforms Our team did research then found 6 machine learning projects.

• Housing price prediction
• Stock market price prediction
• Handwritten digits recognition
• Face emotion detection
• Machine translation
• Fake news detection

Machine learning projects for beginners

Housing price prediction

If you have done machine learning for 1-2 years and you are a beginner in machine learning and you did not know much more about machine learning and you want to create a machine learning project then this project is for you based on a real-world project. You can also submit this machine learning project for the final year of college.

On that machine learning project, you have many house features like no. of windows, no. of Gate, Plot size, etc and you have prices of those houses as a label. This is a regression problem and you have to predict the prices of the other houses with the help of features. You can easily solve this problem with the help of machine learning.

You can take the data about your area or society’s houses and you can create that machine learning project on that data. If you have any problem collecting data, there are so many online platforms that provide you data like Kaggle, UCI repository, Dataset search, etc.

Stock market price prediction

If you have done machine learning for 2-3 years and you are intermediate in machine learning and you have to create a machine learning project that helps you to earn money, then this project is for you. This project is to help you solve the real world. You can also submit this machine learning project for the final year of college.

On that machine learning project, You have many stock features with their details. You create a machine learning model that helps you give stock prices according to your stock then you classify that stock as going up or down on that classification you can easily know you have to invest your money in that stock.

Handwritten digits recognition

If you have done machine learning for 2-3 years and you are intermediate in machine learning then this is the most important machine learning project because after doing this project you may learn many things related to machine learning this machine learning project increase your data science experience and you know how to work with images and how we can do image recognition.

On that machine learning project, You have many images of handwritten digits up to 0-9. You give the data in the form of pixels, and you also give labels according to data, then you give some images without labels, and you have to predict the number from the computer.

Let us learn more about this machine learning project in-depth, you have to convert the image into pixel form then you have to train your model with features and labels on that features are the pixels of the image and the labels are the Number that image you have given. Then next time if you give the image of a number to your computer can easily say the number you have written in the image. On those projects.

You can use the MNIST dataset. This is the most popular dataset.

Face emotion detection

If you have done machine learning for 3-5 years and you know machine learning and deep learning then this machine learning project is very useful for you because after this machine learning project you have 93% to get a job in big companies like google, amazon, etc.

On that machine learning project, You have images like you can take images of any celebrity, your family, you relatives after take their images you have to crop their images to their eyes for this you can use OpenCV python library, convert their eyes data in pixel form then you can easily train your model on their you features will pixels and the labels are the name of the person which eyes data you collected then you have to train.

You can use a machine learning model with natural language processing(NLP) on their use of sentiment analysis or you can use deep learning on their use of convolution neural networks(CNN).

Fake news detection

This is an advanced machine learning project. If you want to get a job at any news company so you can show this project they will have 99% chances they will hire you. If you have done this problem yourself, On that machine learning project you may have to use many machine learning algorithms.

On that machine learning project, you have to take any dataset related to news like a political dataset. After taking the dataset you have to check the title consistently using wrong words or fake words then check the fake headings, check the article after applying the machine learning then track if the news will be fake or not.

I Hope, Your all queries were clear after reading this machine learning project post. Now, If you have any other queries about machine learning projects, You can comment to us so we will try to clear your all queries about machine learning projects.