A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
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Updated
Jul 28, 2024 - JavaScript
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
A dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
A (corrected) dataset derived from information collected by the US Census Service concerning housing in Boston, Massachusetts (1978).
The City of Boston pattern library for public-facing websites.
City of Boston javascript webapps managed by DoIT Digital Team.
A static site for goinvo.com using GastbyJS
My three chatbots are designed to utilize users' actual work experience and align it with keywords extracted from job descriptions. They then generate tailored resumes, professional summaries, key highlights, and cover letters. These outputs are optimized to improve searchability within applicant tracking systems and chances of getting interviews..
Useful Northeastern resources and links; a Student Hub alternative
TransitFind is an MBTA line/stop information web app for dedicated displays.
The official documentation of the City of Boston's Analytics Team.
An exploratory analysis of the factors behind why Boston 311 requests fail, and a predictive model that gauges the probability of a request's failure. Conducted as part of MSBA curriculum.
Importing Boston dataset and describing the overview of the data using libraries such as Numpy, Pandas, Matplotlib and Seaborn. Analysing and creating various visualizations (Box plot, Scatter plot, Histogram). Examining the data structure, missing values and inconstencies to ensure data quality.
Website for the Cambridge MA synth rock band Spider Water
EDA on Boston Crimes in 2018
The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.
The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.
Boosting Implementation (Ada-Boosting, Gradient Boosting, XGB)
Add a description, image, and links to the boston topic page so that developers can more easily learn about it.
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