<feed xmlns="http://www.w3.org/2005/Atom"> <id>https://jkmurey.github.io/</id><title>Joseah Murey</title><subtitle>My journey and projects in turning Data into Insights and AI.</subtitle> <updated>2026-10-09T12:39:50+03:00</updated> <author> <name>Jkmurey</name> <uri>https://jkmurey.github.io/</uri> </author><link rel="self" type="application/atom+xml" href="https://jkmurey.github.io/feed.xml"/><link rel="alternate" type="text/html" hreflang="en" href="https://jkmurey.github.io/"/> <generator uri="https://jekyllrb.com/" version="4.4.1">Jekyll</generator> <rights> © 2026 Jkmurey </rights> <icon>/assets/img/favicons/favicon.ico</icon> <logo>/assets/img/favicons/favicon-96x96.png</logo> <entry><title>XYZ Inc. Salary Prediction</title><link href="https://jkmurey.github.io/posts/xyz-inc-salary-prediction/" rel="alternate" type="text/html" title="XYZ Inc. Salary Prediction" /><published>2026-10-06T09:00:00+03:00</published> <updated>2026-10-06T09:50:07+03:00</updated> <id>https://jkmurey.github.io/posts/xyz-inc-salary-prediction/</id> <content type="text/html" src="https://jkmurey.github.io/posts/xyz-inc-salary-prediction/" /> <author> <name>Jkmurey</name> </author> <category term="App" /> <category term="Data Analytics" /> <category term="Machine Learning" /> <summary>Project Overview XYZ Inc. Salary Prediction is an end-to-end data analytics and machine learning project developed to estimate employee salaries based on professional and organizational characteristics. The project involved data cleaning, exploratory data analysis, feature engineering, machine learning, model evaluation, and deployment as an interactive Streamlit application. Business Proble...</summary> </entry> <entry><title>🏠 House Price Prediction Web App</title><link href="https://jkmurey.github.io/posts/House-Price-Prediction-Web-App/" rel="alternate" type="text/html" title="🏠 House Price Prediction Web App" /><published>2026-04-16T00:00:00+03:00</published> <updated>2026-04-20T17:49:13+03:00</updated> <id>https://jkmurey.github.io/posts/House-Price-Prediction-Web-App/</id> <content type="text/html" src="https://jkmurey.github.io/posts/House-Price-Prediction-Web-App/" /> <author> <name>Jkmurey</name> </author> <category term="App" /> <summary>📌 Overview This project involve creating a machine learning web application that predicts house prices based on user inputs. Built using Python and deployed with Streamlit. Key Features: Real-time predictions Interactive user interface Model deployment using Streamlit Tools Used: Python Scikit-learn Streamlit Pandas 🔗 App Link: 🚀 View Live App</summary> </entry> <entry><title>Machine Learning</title><link href="https://jkmurey.github.io/posts/machine-learning/" rel="alternate" type="text/html" title="Machine Learning" /><published>2026-04-08T00:00:00+03:00</published> <updated>2026-04-13T15:55:09+03:00</updated> <id>https://jkmurey.github.io/posts/machine-learning/</id> <content type="text/html" src="https://jkmurey.github.io/posts/machine-learning/" /> <author> <name>Jkmurey</name> </author> <category term="Machine Learning" /> <category term="Linear Regression Models" /> <summary>📌 Overview This project focuses on building a Linear Regression model using Python to predict a continuous outcome variable based on a single independent feature. Linear regression is one of the fundamental techniques in machine learning and is widely used in real-world applications such as predicting house prices, sales forecasting, and performance analysis. The main objective of this project...</summary> </entry> <entry><title>Hotel Management Power BI Dashboard</title><link href="https://jkmurey.github.io/posts/hotel-management-power-bi-dashboard/" rel="alternate" type="text/html" title="Hotel Management Power BI Dashboard" /><published>2026-04-08T00:00:00+03:00</published> <updated>2026-10-07T13:25:55+03:00</updated> <id>https://jkmurey.github.io/posts/hotel-management-power-bi-dashboard/</id> <content type="text/html" src="https://jkmurey.github.io/posts/hotel-management-power-bi-dashboard/" /> <author> <name>Jkmurey</name> </author> <category term="Power BI" /> <category term="Visualization" /> <summary>Project Overview This is an end-to-end Business Intelligence project focused on analyzing hotel revenue, occupancy, pricing, and booking performance. The project involved transforming raw hotel data, developing a structured data model, creating DAX measures, and designing an interactive Power BI dashboard for business decision-making. The project simulates real-world hotel operations and suppo...</summary> </entry> <entry><title>EDA Kaggle Titanic Dataset</title><link href="https://jkmurey.github.io/posts/eda-kaggle-titanic-dataset/" rel="alternate" type="text/html" title="EDA Kaggle Titanic Dataset" /><published>2026-04-07T00:00:00+03:00</published> <updated>2026-04-12T16:57:38+03:00</updated> <id>https://jkmurey.github.io/posts/eda-kaggle-titanic-dataset/</id> <content type="text/html" src="https://jkmurey.github.io/posts/eda-kaggle-titanic-dataset/" /> <author> <name>Jkmurey</name> </author> <category term="EDA" /> <category term="Kaggle" /> <category term="Python" /> <category term="Visualization" /> <summary>📌 Overview This project performs Explatory Data Analysis (EDA) on the Titanic dataset from Kaggle to uncover patterns, relationships, and insights that influence passenger survival 🎯 Objectives Perform data cleaning and preprocessing Handle missing values and outliers Conduct univariate, bivariate, and multivariate analysis Analyze the target variable (Survived) 🛠️ Tools &amp;amp; T...</summary> </entry> </feed>
