5 Top Machine Learning Projects using KNN

Machine learning has undoubtedly emerged as a transformative force, reshaping industries and revolutionizing how we interact with technology. From advanced natural language processing systems like ChatGPT to cutting-edge image recognition applications, the zone of possibilities seems boundless. If you are captivated by the endless potential of machine learning and are eager to dive into this dynamic field, we suggest starting with the basics.

In the vast domain of machine learning, it's essential to understand the basics well. One fundamental algorithm worth exploring is the K-Nearest Neighbors (KNN) algorithm. KNN is simple, yet it gets the job done effectively.  It's a good choice, especially if you're starting with machine learning and want a good grip on the basics. In this article, we invite you to explore the intricacies of KNN through hands-on experience. 

Before diving into the applications, here are a few essential pointers to remember while using the KNN algorithm for your next project, as highlighted by Sandesh Sharma.

Machine Learning Projects using KNN using Python

We'll guide you through five machine-learning projects using the KNN algorithm, all implemented in Python. These ML projects are carefully crafted to equip you with the skills necessary to delve deeply into the workings of this algorithm, laying the groundwork for your machine-learning endeavors.

1. Hotel Recommendation System using KNN

Planning the perfect trip often involves many decisions, and choosing the right hotel is undoubtedly one of the crucial ones. Striking the right balance between budget, amenities, and location can take time and effort. That's where a well-crafted hotel recommendation system comes into play, serving as a valuable guide tailored to individual preferences.

In our project, we delve into the fascinating world of hotel recommendations using a dataset from Expedia. The objective is clear: harness the power of machine learning to predict which hotel group a user is likely to book. To achieve this, we employ the K-Nearest Neighbors (KNN) algorithm to create hotel clusters and recognize patterns in hotel preferences. The clusters are formed based on various factors such as historical pricing, customer star ratings, geographical proximity to the city center, and more. By grouping similar hotels, we create identifiers that reflect the types of hotels people are inclined to book, filtering out outliers like new establishments lacking historical data.

Source Code: https://www.projectpro.io/project-use-case/expedia-hotel-recommendations 

2. Similar Image Finder using KNN

Ever wished you could effortlessly find that perfect product or clothing item you stumbled upon? In 2024, it's not only possible but made easy with tools like Google Lens. Imagine having a dedicated app acting as a similar image finder, allowing you to snap a picture and instantly retrieve relevant information. 

This Python project leverages the K-Nearest Neighbors (KNN) algorithm to create a powerful similar image finder system. Designed to cater to the rising trend of online shopping, this computer vision project precisely identifies products at the SKU level, meeting the demand for automated and accurate product recognition in the dynamic world of e-commerce.

Source Code: https://www.projectpro.io/project-use-case/image-similarity-using-python

3. Personalized Medicine Recommendation System using KNN

Ever wonder how scientists are making cancer treatment super personalized? In this remarkable project, we're diving into Personalized-Medicine-Redefining-Cancer-Treatment. The aim is to make classifying genetic mutations (those tiny things causing cancer) way quicker. The existing method involves clinical pathologists manually reviewing and classifying each genetic variation based on textual clinical literature—a time-consuming process. This project solution uses machine learning algorithms, including Logistic Regression, Random Forest, K-Nearest Neighbors (KNN), and Naive Bayes, to automate and accelerate this procedure with enhanced accuracy. 

Source Code: https://www.projectpro.io/project-use-case/personalized-medicine-redefining-cancer-treatment 

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4. Credit Card Fraud Detection using KNN

In the fast-paced world of online transactions, the convenience comes with a risk—hackers causing fraudulent transactions. Companies must safeguard customers by identifying these fraudulent activities. In our Credit Card Fraud Detection project, we explore a dataset from September 2013, containing 492 frauds among 284,807 transactions. Learn to create insightful plots, pinpoint crucial variables, and delve into binary classification using Random Forests, K-Nearest Neighbors, and Logistic Regression. Discover how to evaluate model performance using metrics like Precision and Recall and craft a comprehensive project report with tools like the ROC curve and confusion matrix. 

Embed Video: https://www.youtube.com/watch?v=A36bwnSGU54 

Source Code: https://www.projectpro.io/project-use-case/credit-card-fraud-detection-classification-problem

5. Face Recognition

Unlocking an iPhone with a face lock is a standard nowadays, thanks to face recognition technology. Apple employs sophisticated deep learning algorithms, specifically Convolutional Neural Networks (CNNs), for this feature. Interestingly, you can develop a similar system using a more straightforward approach - the K-Nearest Neighbors (KNN) algorithm.

You can use a sample dataset or make it more interesting by gathering pictures of friends and family. Learn to analyze facial features, understand the importance of data preprocessing, and implement face recognition using algorithms like Eigenfaces or LBPH. Whether you're curious about the tech in your phone or keen to build your facial recognition system, this machine learning project using KNN on GitHub is your gateway to the captivating realm of face recognition technology. Get ready to bring your dataset to life!

Source Code: https://github.com/ageitgey/face_recognition/blob/master/examples/face_recognition_knn.py 

Don’t stop here. Continue exploring exciting data science and big data projects to enhance your skills. For a consolidated platform offering a variety of projects, from basic to advanced, check out ProjectPro Repository – a treasure trove of solved projects in data science and big data.