What projects can I do using machine learning?” Well, this is a common question for those who are just starting out with machine learning. However, most experts in your sector will advise you to look into some exciting, cool, fun, and easy machine-learning project ideas in different business areas so you can use the skills you’ve learned in the real world. Moreover, we’ve put together a list of interesting and new machine-learning project ideas for people just starting out in the field.
Therefore, these machine learning project ideas for beginners are a perfect mix of the different kinds of problems you might face as a machine learning engineer, deep learning engineer, or data scientist.
However, in this blog, you will find seven machine-learning project ideas that will help you in learning all the things you need to know in order to be successful in your career and get hired in the field.
What’s the use of Machine Learning?
Machine learning can be used in a lot of different ways, and there are many algorithms for it that you can learn. However, they come in many shapes and sizes, from the most basic to the most elaborate. Here are a few ways Machine Learning can be used.
Image Recognition
Image recognition is considered to be one of the most popular uses of machine learning applications. Moreover, it can also be thought of as a digital image, and the measurement for these images is the yield of each pixel. However, face recognition is another great use of machine learning. Thus, it helps people figure out who someone is by their face and sends them notifications about it.
Video Surveillance
With the help of machine learning, video surveillance can help you find crimes or accidents before they happen. It lets you keep track of people who do strange things, like sleep on seats or stand still for a long time.
Spam and Malware
Email clients use several ways to stop spam, and these ways are always updated. Machine learning is used to do most of these things. Additionally, some malware is recognized, and these are identified primarily by machine learning-assisted system security programs.
Social Media Platform
Machine learning is used to make sure that news feeds and ads on Social Media are more relevant to the user’s interests. It’s based mostly on what the user does, like who they connect with and how often they visit other people’s profiles. Based on that, it gives the user suggestions. It will also teach you how to get useful information from pictures and videos. YouTube works better because of machine learning.
Voice Recognition
Voice recognition software is also made with the help of machine learning. Moreover, it is also called a virtual personal assistant (VPA). Also, it will help you find the information when you are asked about it over the phone. After you ask your question by voice, that assistant will look for the information you asked for and gather the rest of the information it needs to give you the best answer.
Best Machine Learning Project Ideas For Beginners
Let us now look at 8 machine learning project ideas for beginners, to attain the real-world experience of this thriving technology in 2022.
Comment Analysis on YouTube
If you want to use natural language processing to look at YouTube comments, you should start by scraping your text data with a library like Youtube-Comment-Scraper-Python, which uses browser automation to get YouTube video comments.
Home Value Predictions Project
Think about a time when you want to buy or sell a house, or when you are moving to a new city and looking for a place to rent.
In this project, you will work with the dataset to build an XGBoost model for predicting house prices. However, the average income, number of hospitals, number of schools, crime rate, and other things are taken into account.
Project for a Music Recommendation System
Spotify will show you songs that are similar to the ones you already like. How is this done by the system? Well, this is the perfect way that ML can be used. Moreover, the first task is to figure out how likely it is that a user will listen to a song over and over again within a certain amount of time.
In the dataset, the prediction is counted as 1 if the user has heard the same song in the past month. So the dataset is a list of the songs that each customer has heard and when.
Iris Flower Classification ML Project
Iris Flowers is one of the simplest datasets for machine learning project ideas and classification. Moreover, this machine learning problem is usually called the “Hello World” of machine learning. Besides, the dataset includes numbers, and people who are new to Machine Learning project ideas need to know how to handle and load data.
Finding frauds by keeping track of unbalanced data
Because financial crime is getting worse, AI-based fraud detection is more important than ever. However, fraud detection is a division problem that works with unbalanced data, which means that the fraud to be predicted is in the minority. Indeed, predictive models often try to find real business value in data that isn’t balanced, and the results may be wrong.
To talk about the issue, you can use three different approaches:
Oversampling
Undersampling
A combination of approaches
Titanic Survival Project Project idea:
For this easy project, you’ll use the Titanic dataset, which has real information about the people who lived and died on the ship.
Machine Learning Project for Digit Classification at MNIST
With the help of the MNIST digit classification python project, machines can now read handwritten numbers.
However, this project could help computer vision a lot.
Here, you need to train the model with Convolutional Neural Networks using MNIST datasets.
Text Summarisation
Text summarization is a way to explain the main idea of a part of the text without changing its meaning. Also, extractive text summarization uses a scoring system to pick out the most important parts of a document’s text and put them together in an edited version of the original document. And abstractive text summarization uses high-level natural language processing techniques to create a new, shorter version that says the same thing.
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