Naïve Bayes & K-Means Analysis

$10-30 USD

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Posted 10 days ago

$10-30 USD

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## **Combined Assignment Question** Using the datasets provided (*[login to view URL]* and *[login to view URL]*), apply appropriate data mining techniques to perform classification and clustering analysis. --- ### **Part 1: Naïve Bayes Classification ([login to view URL])** Using the cola preference dataset: 1. Apply the **Naïve Bayes method** to classify the 100 customers into: * **Regular** * **Light** cola preference 2. Based on your model, classify the following new customer: * Male, Married, Income = $42,000, Age = 47 * **State whether the customer prefers Regular or Light**, and justify your answer. 3. Evaluate the overall performance of your model: * How accurate is the classification? * Provide an interpretation of the results and any limitations of the model. --- ### **Part 2: K-Means Clustering ([login to view URL])** Using the cities dataset: 1. Apply the **K-means clustering method** with **k = 3** to group the cities. 2. Analyze and describe the resulting clusters: * What defines each cluster? * Are the groupings meaningful? Provide a short report explaining your findings. 3. Evaluate the choice of **k = 3**: * Is this number of clusters appropriate? * Would another value of k produce more useful or meaningful results? Justify your answer. --- ## **Simple Summary** * Use **Naïve Bayes → classify customers** * Use **K-means → cluster cities** * Then **interpret and evaluate both results** --- If you want, I can also turn this into a **full solution/report format (introduction, methodology, results, conclusion)** ready for submission.

Project ID: 40365057

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@AvinaHSinha7

Hi there, I’m a CS graduate with experience in machine learning tasks including classification and clustering. I can complete both the Naïve Bayes and K-Means tasks with a clean, reproducible Python notebook. I’ll include preprocessing, model training, accuracy with confusion matrix interpretation, and clear cluster insights with validation (elbow/silhouette). The code will be well-commented and the write-up will be concise and easy to understand. Ready to start. Best regards, Avinash

$30 USD in 2 days

5.0

(3 reviews)

2.5

6 freelancers are bidding on average $26 USD for this job

@qualityxenter

Affordable, Early Delivery. ★★★★★★★★★★★★★★I hold a Masters degree which gives me the requisite background to handle writing from various subjects. I am a highly committed person towards my work. You can rely on QualityXenter for quality and consistency in writing. We never violate copyright rules. I have vast amount of experience in this industry since I am working from 2015 as a professional writer. I provide many modifications till to get your satisfactions. I have access to enough journals to use in your research project. I always produce quality work at VERY LOW RATES so, don't worry if you have a low budget for your work, I will be very happy to make a new client like you. I am producing quality work for my clients including ARTICLE WRITING, REPORT WRITING, ESSAY WRITING, RESEARCH PAPERS, BUSINESS PLAN, TECHNICAL WRITING, MATLAB, THESIS, ACCOUNTING & FINANCE work ETC. Go through my profile link https://www.freelancer.com/u/qualityxenter

$10 USD in 1 day

5.0

(13 reviews)

4.2

@carlosd178

Hello, As a result of a detailed review of your project requirements, I fully understand the scope and expectations for both the Naïve Bayes classification and K-Means clustering tasks. I have experience handling similar data science exercises and I’m available to start your project right now. I bring deep expertise in Data Science, Python, Statistical Analysis, Data Analysis, and Excel with over 10 years of experience. One of the key challenges in tasks like this is ensuring clear interpretation alongside correct modeling, so I would build a clean, reproducible script that reads directly from your Excel files, applies proper preprocessing, trains the Naïve Bayes model with confusion matrix and accuracy explanation, and runs K-Means with validation (elbow or silhouette) to justify k and produce clear cluster insights. I have a couple of quick questions. • Do you prefer the solution in Python (Jupyter Notebook) or R? • Should visualizations be included directly in the notebook or as separate outputs? I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Best regards, Carlos

$30 USD in 3 days