Forecasting monthly armed robberies in Boston with an ARIMA model.
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Updated
Feb 8, 2017 - Jupyter Notebook
Forecasting monthly armed robberies in Boston with an ARIMA model.
Machine learning for Project Cognoma
An automated machine learning toolkit.
Using Python Statsmodel arima method to model time series data.
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Code for the S3 2017 summer school project "Who's winning it? – Forecasting sports tournaments"
Predicting foreign box office numbers with linear regression
Project and tutorial for analyzing datasets with Python, pandas, lifelines, matplotlib, statsmodels, and seaborn
Water pollutant (Ammonia) Forecast of the Hertfordshire and North London area.
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Unravelling crime patterns and trends to better understand the safety level and categories of incidents that occur in different areas in SF. This will help the SF residents , tourists - - stay vigilant on safety and security as SF continues to grow as a desirable city to live with thriving industry. - povide insights on criminal activity in the …
Time Series Data Analysis for Air Conditioner
Perform the financial risk analysis on a stocks portfolio, through Monte Carlo Simulation
This Python Notebook was developed for a challenge: whose model is the most performant in predicting apartments' sale prices?
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