[Introduction] This article introduces 23 machine learning project ideas to gain real experience with this growing technology.
We all know that what we learn in textbooks differs from practical operations. Are there any good projects for hands-on practice in machine learning?
We recommend this article. This tutorial covers 23 machine learning project ideas for beginners, intermediate experts, and experts to gain real experience with this growing technology. These machine learning project ideas will help you understand all the practices needed to succeed in your career and current job market.
Learning through projects is the best investment you can make in the short term. These project ideas allow you to quickly develop and enhance your machine learning skills. These machine learning projects can be developed using Python, R, or any other tool.
Machine Learning Projects for Beginners
In this section, we list the top machine learning projects for beginners. If you have already worked on basic machine learning projects, jump to the next section: Intermediate Machine Learning Projects.
1. Iris Flower Classification Project
Project Idea: There are different species of Iris flowers, and you can distinguish them based on the length of their petals and sepals. This is a basic project for machine learning beginners to predict new species of Iris flowers.
Dataset: Iris Classification Dataset
https://archive.ics.uci.edu/ml/datasets/Iris
2. Emojify – Create Your Own Emojis Using Python
Project Idea: The goal of this machine learning project is to classify human facial expressions and map them to emojis. We will build a convolutional neural network to recognize facial expressions. Then, we will map these emotions to the corresponding emojis or avatars.
Source Code: Emojify Project
https://data-flair.training/blogs/create-emoji-with-deep-learning/
3. Loan Prediction Using Machine Learning
Project Idea: The idea behind this ML project is to build a model that classifies how much a user can loan based on their marital status, education level, number of dependents, and employment status. We can establish a linear model for this project.
Dataset: Loan Prediction Dataset
https://www.kaggle.com/altruistdelhite04/loan-prediction-problem-dataset
4. Housing Price Prediction Project
Project Idea: The dataset contains housing prices in the Boston area. The cost of houses varies based on factors such as crime rate, number of rooms, etc. This is a great ML project for beginners as it predicts prices based on new data.
Dataset: Housing Price Prediction Dataset
https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html
5. MNIST Digit Classification Machine Learning Project
Project Idea: The MNIST digit classification Python project enables machines to recognize handwritten digits. This project can be very useful for computer vision. Here, we will use the MNIST dataset to train the model with a convolutional neural network.
Dataset: MNIST Digit Recognition Dataset
https://drive.google.com/file/d/1hJiOlxctFH3uL2yTqXU_1f6c0zLr8V_K/view
Source Code: Handwritten Digit Recognition Project
https://data-flair.training/blogs/python-deep-learning-project-handwritten-digit-recognition/
6. Stock Price Prediction Using Machine Learning
Project Idea: There are many datasets available for stock market prices. This machine learning beginner project aims to predict future stock prices based on data from the previous year.
Dataset: Stock Price Prediction Dataset
https://www.kaggle.com/c/two-sigma-financial-news/data
Source Code: Stock Price Prediction Project
https://data-flair.training/blogs/stock-price-prediction-machine-learning-project-in-python/
7. Titanic Survival Prediction
Project Idea: This will be an interesting project as we will predict whether someone will survive on the Titanic. For this beginner project, we will use the Titanic dataset, which contains real data of survivors and those who died on the Titanic.
Dataset: Titanic Survival Dataset
https://www.kaggle.com/c/titanic
8. Wine Quality Detection Project
Project Idea: In this project, we can build an interface to predict the quality of red wine. It will use chemical information about the wine and, based on a machine learning model, it will provide us with the results of wine quality.
Dataset: Wine Quality Dataset
https://archive.ics.uci.edu/ml/datasets/wine+quality
9. Fake News Detection Project
Project Idea: Fake news spreads like wildfire, and this is a big problem in this era. We can learn how to distinguish fake news from real news. We can implement such a model using supervised learning.
Dataset: Fake News Detection Dataset
https://drive.google.com/file/d/1er9NJTLUA3qnRuyhfzuN0XUsoIC4a-_q/view
Source Code: Fake News Detection Project
https://data-flair.training/blogs/advanced-python-project-detecting-fake-news/
So far, if you have any questions about the machine learning projects proposed by DataFlair, feel free to leave a message.
Intermediate Machine Learning Projects
1. Music Genre Classification Machine Learning Project
Project Idea: The idea of this Python machine learning project is to develop a machine learning project that automatically classifies different music genres in audio. We need to classify these audio files using their low-level features in the frequency and time domain.
Source Code: Music Genre Classification Project
https://data-flair.training/blogs/python-project-music-genre-classification/
2. Bitcoin Price Predictor Project
Project Idea: The Bitcoin price predictor is a useful project. Blockchain technology is evolving, and many digital currencies are on the rise. This project will help you predict the price of Bitcoin using past data.
Dataset: Bitcoin Price Prediction Dataset
https://www.kaggle.com/team-ai/bitcoin-price-prediction/version/1
3. Uber Data Analysis Project
Project Idea: This project can be used for data visualization of Uber data. The dataset contains 4.5 million Uber pickups in New York City. To analyze the trips, a lot of data needs to be beautifully represented to further improve the business.
Dataset: Uber Data Analysis Dataset
https://drive.google.com/file/d/1emopjfEkTt59jJoBH9L9bSdmlDC4AR87/view
Source Code: Uber Data Analysis Project
https://data-flair.training/blogs/r-data-science-project-uber-data-analysis/
4. Personality Prediction Project
Project Idea: The Myers-Briggs Type Indicator is a personality type system that categorizes a person into 16 different personalities based on introversion, intuition, thinking, and perceiving. We can determine their personality based on the types of posts they publish on social media.
Dataset: Personality Prediction Dataset
https://www.kaggle.com/datasnaek/mbti-type
5. Xbox Game Prediction Project
Project Idea: Data generated from people’s searches can be used to predict user interests. BestBuy has provided data from millions of user searches, and we will predict which Xbox games users are most interested in purchasing. This will be used to recommend games to visitors.
Dataset: Xbox Game Prediction Dataset
https://www.kaggle.com/c/acm-sf-chapter-hackathon-small/overview
6. Credit Card Fraud Detection Project
Project Idea: Companies that conduct a large number of transactions with cards need to detect anomalies in the system. This project aims to build a credit card fraud detection model. We will use transactions and their labels as fraud or non-fraud to detect whether new transactions made by customers are fraudulent.
Dataset: Credit Card Fraud Detection Dataset
https://drive.google.com/file/d/19BOhwz52NUY3dg8XErVYglctpr5sjTy4/view
Source Code: Credit Card Fraud Detection Project
https://data-flair.training/blogs/data-science-machine-learning-project-credit-card-fraud-detection/
7. Barbie and Brain Project
Project Idea: Toys for children, such as Barbie dolls, have a set of predefined words that they can repeat. We can use machine learning methods to give Barbie dolls some intelligence. When toys can understand and speak in different sentences, they become more engaging. This is an excellent project that will enhance children’s learning processes.
8. Customer Segmentation Using Machine Learning
Project Idea: Customer segmentation is a technique that segments customers based on their purchase history, gender, age, interests, etc. Obtaining this information is very useful so that stores can get help in personalized marketing and provide customers with relevant information deals. With the help of this project, companies can run user-specific campaigns and offer user-specific deals instead of broadcasting the same offers to all users.
Dataset: Customer Segmentation Dataset
https://drive.google.com/file/d/19BOhwz52NUY3dg8XErVYglctpr5sjTy4/view
Source Code: Customer Segmentation Project
https://data-flair.training/blogs/r-data-science-project-customer-segmentation/
In the next part of the article on machine learning project ideas, we will introduce some advanced project ideas for insiders.
Advanced Machine Learning Projects
1. Sentiment Analysis Using Machine Learning
Project Idea: Sentiment analysis is the process of analyzing user sentiments. We can classify their emotions as positive, negative, or neutral. Learning how to perform sentiment analysis is a great project and is widely used today. This is one of the most popular machine learning projects because every company is trying to understand customer sentiments, and if customers are satisfied, they will stay. This project may show ways to reduce customer churn.
Dataset: Sentiment Analysis Dataset
http://ai.stanford.edu/~amaas/data/sentiment/
Source Code: Sentiment Analysis Project
https://data-flair.training/blogs/data-science-r-sentiment-analysis-project/
2. Enron Investigation Project
Project Idea: Enron Corporation collapsed in 2000, but data is available for investigation. This database contains emails from 500,000 real employees working at the company, making the data very useful for performing data analysis, and many data scientists use this dataset.
Dataset: Enron Investigation Dataset
https://www.cs.cmu.edu/~enron/
3. Voice Emotion Recognition Machine Learning Project
Project Idea: This is one of the best machine learning projects. The voice emotion recognition system uses audio data. It takes a portion of the voice as input and then determines the emotion in which the speaker is speaking. We can identify different emotions such as happiness, sadness, surprise, anger, etc. This project may help identify customer emotions during calls with call centers.
Dataset: Voice Emotion Recognition Dataset
https://drive.google.com/file/d/1wWsrN2Ep7x6lWqOXfr4rpKGYrJhWc8z7/view
Source Code: Voice Emotion Recognition Project
https://data-flair.training/blogs/python-mini-project-speech-emotion-recognition/
4. Illegal Fishing Detection Project
Project Idea: This is an interesting machine learning project. There are many boats on the ocean, and it is impossible to manually track each one’s activities. This would be an amazing project that can identify illegal poaching and fishing activities through satellite and geolocation data. Global Fishing Watch provides real-time data for free, which can be used to build the system.
Dataset: Illegal Fishing Detection Dataset
https://globalfishingwatch.org/map-and-data/
5. Online Grocery Recommendation Using Collaborative Filtering
Project Idea: Collaborative filtering is a great technique that filters out items that users may like based on similar users’ responses. A grocery store recommendation system would be a good project to make customers aware of what they want.
6. Movie Recommendation System Using Machine Learning
Project Idea: Recommendation systems are everywhere, whether in online shopping apps, movie streaming apps, or music streaming. They recommend products based on target customers. A movie recommendation system is an excellent project to enhance your portfolio.
Dataset: Movie Recommendation System Dataset
https://drive.google.com/file/d/1Dn1BZD3YxgBQJSIjbfNnmCFlDW2jdQGD/view
Source Code: Movie Recommendation System Project
https://data-flair.training/blogs/data-science-r-movie-recommendation/
7. Automatic License Plate Recognition System
Project Idea: The purpose of this machine learning project is to detect and recognize vehicle license plate numbers and read the numbers printed on the plates. This could be a good application for security scanning, traffic monitoring, etc.
Source Code: Automatic License Plate Recognition Project
https://techvidvan.com/tutorials/python-project-license-number-plate-recognition/
https://data-flair.training/blogs/machine-learning-project-ideas/
