Accumulated shadow data computed for New York City
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Updated
Aug 18, 2021 - Python
Accumulated shadow data computed for New York City
Udacity Machine Learning Course Predicting Boston Housing Prices
Tool for automatically generating simulated datasets of Boston Public School students and their school assignments.
HomeAssistant custom component for MBTA predictions
Python package for interfacing with Boston 311 API.
Boston adaptation of NYC + MapBox's OSM tracker
Get French Toast Alerts on Slack so you know exactly when to rush to the store.
Predict Boston House Prices Using Python & Linear Regression
👀 keep tabs on Chicago city council
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.
Automated API deployment for Boston house price prediction on Cluster Kubernetes.
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