Top 10 Machine Learning Projects for Beginners
The era we are living in is the era of technological dominance. Especially if we look at the boom in the IT industry in recent years, there are technologies like Artificial Intelligence and Machine Learning that came in the scene and captured the market. As they have become popular in the enterprise industry overnight, these technologies have also become one of the top chosen domains when it comes to career-making. It would not sound real, but the industry is facing a shortfall of qualified and skilled professionals.
When it comes to choosing the career pathway, aspirants nowadays are choosing AI and ML over any other technology. The reason is simple these technologies are going hoot in the present and will continue to do so in the future as well. AI is the technology where we put intelligence in the machine, whereas if we talk about machine learning, it is the process in which machine keeps performing the task and from every turn it takes, it learns something and tries to make the performance better. Yes, it does sound like a futuristic approach when we talk about, but we are using applications of this technology in our everyday life. The most common example would the speech recognition virtual assistants we use like Siri from Apple and Alexa from Amazon.
As there are thousands of developers going towards machine learning, there is a need to practically apply this technology so that they do not fail when they land a machine learning job. There are projects that young developers should go for, as it will provide them the practical exposure plus their knowledge will become more diverse. Let's look at the top projects these developers can develop to start their stint in machine learning.
Top 10 Machine Learning Projects for Beginners
The projects that we are going to mention here are for beginners in the field of data science and machine learning. As we know, the value of practical experience is very high if you want to succeed in anything, be in your career in machine learning, or any other field. When designing this project list, it was kept in mind that it is for beginners, and some of them may not be aware of machine learning algorithms. So, they will get to know about algorithms in detail. Everyone in the industry knows how many machine learning algorithms are there, the big thing is to know when and where to use these algorithms.
Start Your 30-Day FREE TRIAL with Data Science Academy.
- Stock Prices Predictor
Nobody can deny the fact that the stock market is an essential thing for the enterprise market. And if you can make a data analyzer and price predictor, you can even sell this software to the companies as they look for such tools that can help them in the stock market. We know the amount of data available in the stock market, if there can a data analyzer that can take in the data and process it into the prediction, that will be very beneficial.
To go on with this project, there are some concepts of data analysis one needs to know. These concepts include regression analysis, predictive analysis, statistical modeling, and action analysis.
- Sports Predictor
The beginners of machine learning domain are usually a student in a college or a university and studying machine learning to make it a career in the future. To apply what they learn and to have practical exposure, they can develop a sports-based predictor that can predict the scoreline according to the previous data. Or the designed system can predict which team is going to score how many goals or which one is going to win and many more. It will be a fun way that will make the candidate learn a lot about machine learning algorithms as well. The more we have data, the easy it will be for the system to predict accurately. To know more about data analysis and machine learning algorithms one can always go for Microsoft Data Science Certification, which has all the necessary knowledge.
- Sentiment Analyzer
Another great idea would be to develop a sentiment analyzer. It is an idea that is catchy and innovative. We know how people use social media sites like Twitter and Facebook to share their feelings in words but to know what sentiments are there behind those words is a mystery. A mystery only you can solve by designing a machine learning project. Social media is filled with this type of data, you just need an analyzer and you are good to go. Plus, this will also help companies analyze the consumer's behavior that can be used to make the product better. You can mine the data from any of the social media websites for your project.
- Healthcare Enhancement
Healthcare is another department you can go for if you want to have some practical experience in machine learning. You can use machine learning algorithms to develop something that can enhance the healthcare system of the country. There are already a lot of stuff available based on AI and machine learning like remote monitoring of patients, telemedicine, wearables for healthcare, and many more. These technology-based applications and tools are improving the healthcare system and also they are reducing the workloads of doctors, as a doctor can now keep an eye on the patient's health from a remote location. All healthcare data can be used to design and develop applications that be used for diagnosis and preventive care.
- Prepare a Machine Learning Algorithm
There is nothing better than writing a machine learning algorithm yourself. It is going to be hard when you start writing it but it will be worth it. And in the end, you will be able to understand your own written and other algorithms. If you opt to do this, you will be transforming mathematical equations into a functioning code, which will be a handy skill to have considering the competition in the market. Although you should start with a simple level of algorithms, and once you have succeeded in writing this, you can go for the complex ones as well.
- Develop a Neural Network using ML
Another idea for the beginners and the students is to develop a neural network that functions for let's say, handwriting reading. As we know how deep learning and neural networks are the two pillars of Artificial Intelligence, and they have given us wonders like image recognition, driverless car, and many more. You can start developing a neural network with a simple one that reads handwriting just to get an idea of how we can work with machine learning and neural networks together.
- Development of Movie Ticket Pricing System
There used to be a time when people used to book tickets for movies online, but recently it has seen a decline. The reason is simple there are multiple OTT platforms now like Amazon Prime, Netflix, and many more. There are two reasons why everyone goes after OTT platforms, endless options, and price lesser than the facilities they are offering. Whereas when it comes to movies now, the pricing is a key factor why it has seen the downfall. There needs to be a system to revive the theatre industry. It is possible only by designing a systematic way for ticket pricing, and this can be a good project for a machine learning beginner.
- ML Project of Iris Flowers Classification
For students who are just starting with machine learning, the classification of Iris flowers can be a very beneficial option. The dataset is available and one needs to write a code to classify the types of Iris flowers according to their sepal length and petals. Classification is the most basic concept of machine learning, and a candidate should always start from scratch if he wants to learn something the best way.
- Recommendation Engines Development with Different Datasets
You must have witnessed this wonder of machine learning. The recommendation engine shows you the stuff based on your recent searches and activities, just like Google. Almost every OTT platform and online shopping website use the recommendation engine to make the consumer experience better. It can be a good start for any beginner as it is not that complex and can be implemented with little knowledge about machine learning algorithms. There are datasets you can find on the internet, you just need to design the analyzer that processes the searches and recommends according to that.
- Object Detection Development with Deep Learning
Deep learning is an essential part of AI and machine learning, as we know. Doing something with deep learning itself is a big achievement for a beginner as it is a demanded technology right now. It is a project that will validate your machine learning knowledge and understanding.
There you go with the top 10 projects a beginner can go for if he is interested in machine learning for learning or career perspective. A person that has a certification like Microsoft data science certification can design any of the mentioned projects. Thank You!