It’s no secret that machine learning is a hot new technology right now! This technique is best learned by hands-on experimentation. You may learn about machine learning by taking online classes, reading books, and so on, but it is only possible to master the topic through working on real-world projects properly. This article can learn a lot about machine learning by implementing the top 10 machine learning project ideas.
1. Survivors of the RMS Titanic
For those new to machine learning (ML) projects, this is a good entry point project on Kaggle. One of the worst maritime disasters is the Titanic, which is the subject of this article. It’s all about predicting which passengers survived the Titanic catastrophe based on their age, gender, socio-economic status, and other demographic information. A wealthy person from the first class is much more likely to survive than a poorer person from the third class.
2. Project for Predicting Personality
If only you could get a sense of someone’s true character by reading what they say on the internet. It would clear out a lot of chaos on the web! This ML research aims to identify a person’s Myers-Briggs personality type based on their social media postings. The Myers-Briggs Type Indicator categorizes people into 16 distinct personality types based on traits including introversion, intuition, creativity, and critical thinking. One may go from Introversion (I) to Extroversion, Introversion to Sensing (S), and Extroversion and Judging to Perceiving (J) along this axis (P).
3. The Loan Prediction Project
Obtaining a bank loan is not at all simple. A stable income is one of the most critical elements in getting a loan, but many more! Using a variety of characteristics, such as the user’s marital status, income, education, work prospects, and the number of dependents they have, this machine learning project hopes to develop a model that can categorize the amount of money a user is eligible to borrow.
4. Prediction Project for Stock Price
There are numerous highs and lows in the stock market as firms prosper or fail. Stock market forecasting is notoriously difficult, yet that is the goal of this ML research. You will use historical stock market data, such as the opening price, closing price, trading volume, and computed returns, as well as news data, such as news articles published on the company’s assets, to estimate future stock price returns.
5. Playstation 3 and PlayStation 4 Game Prediction Projects
Who doesn’t like playing games on Xbox? Almost everyone does, and they have a wide range of alternatives to select from. This research seeks to forecast which Xbox game a person is most likely interested in based on their web search searches. In addition, you may utilize BestBuy’s prediction dataset, which has data on millions of consumers’ search queries, to figure out what Xbox game they would be interested in. User ID, item clicked, category, query, connect time, and query time are all included in the data set.
6. Prediction of Housing Costs Project
Several elements influence the price of a home, such as its location, size, number of rooms, and so on. However, when it comes to purchasing or selling a home, many of these criteria are overlooked. What we need is a project like this one to solve this problem! The ultimate goal is to forecast the eventual price of the home-based on characteristics like the house’s frontage and acreage, street, land contour, and utility closeness.
7. Prediction Project for Sales
That’s the ultimate goal of this initiative. You must estimate the total number of goods sold in each store based on the daily sales data. There may be a new list of stores and items added each month.
8. This is the Digit Recognizer Project
Using machine learning, you’ll be able to improve your computer vision abilities in this project! If you’re going to use an ML method, you’ll need to do it in a dataset with tens of thousands of photos.
9. Prediction of Credit Card Approval
Getting a credit card isn’t easy. The bank evaluates a person’s trustworthiness before issuing a credit card. Credit ratings objectively measure this level of trust and risk. This research develops an ML model that can determine if a credit card application is a “good” or “bad” customer.
10. IMDB’s Estimated Box Office Take
A large portion of our lives is spent in front of the screen! However, the box office performance of a film is entirely unpredictable. Some big-budget movies don’t do well, and some smaller-budget films do well. Using the cast, crew, posters, narrative keywords, budget, production firms, release dates, languages, and nations of movies, this project aims to estimate the global box office income for each film in question.
You may use any of these ML Project Ideas to get started in Machine Learning or brush up on your skills.
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