King County Real Estate Model
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Updated
Nov 28, 2020 - Jupyter Notebook
King County Real Estate Model
Predicting the Air Quality Index of bangalore city based of new simple parameters
Customer Churn Analysis using Power BI
Web crawling project that finds the most common programming languages that appear on Indeed.com job descriptions for software developer roles in Dallas, TX
A exercise developed using the kmeans method for the intelligent systems course at UFMT.
Built a model to determine the risk associated with extending credit to a borrower. Performed Univariate and Bivariate exploration using various methods such as pair-plot and heatmap to detect outliers and to monitor the behaviour and correlation of the features. Imputed the missing values using KNN Imputer and implemented SMOTE to address the i…
Data Projects
Geographic Revenue And Employee Matrix Dashboard Using Power Bi
Cleaning of raw data and then performing data analysis using excel formulas, at end created a dynamic dashboard.
Welcome to the Power BI Projects Repository, a curated collection of my data-driven projects created using Power BI. This repository serves as a platform to showcase my expertise in data analysis, visualization, and reporting using Power BI.
This is a Descriptive Customer Analysis Dashboard. Created a Dashboard using different types of charts including a butterfly chart, a donut chart, a scatter plot and more.
A SQL project that focuses on the manipulation and analysis of Random Hospital ER Data.
To enhance customer retention and elevate their experience, I leveraged Power BI to conduct a comprehensive analysis and visually represent the results of customer satisfaction surveys.
An analysis of Seattle rain data collected at SeaTac International Airport from 1948 to 2017. *PLEASE SEE README.MD BELOW FOR THE FULL REPORT*
The aim of this project is to perform Exploratory Data Analysis (EDA) of the London housing dataset. The analysis includes data loading, cleaning and visualization to find key trends and patterns in housing prices, houses sold, and crime rates across various areas in London over time.
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