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Party in the USA
Classification by autoregression
My First ML project
One challenge that Airbnb hosts face is determining the optimal nightly rent price.
New Feature implementation
Use PCA to analyse the features and use Isolation Forest to detect anomalies
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Predicting anomalities for the Shell Challenge.
Generative Model + Time Series Forecasting Model + Anomaly Detection Model
We made a cool system for price prediction which can improve offerings
We detect anomalies in the sensor readings
Compressor Analytics Challenge and Data
NHS challenge. We tried to analyze and predict the efffectiveness and prevalence of nicotine across the UK.
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Can we recognise compressor trips before they happen? Yes, we can.
Compressor Analytics Data set
We help make Airbnb profitable for investors
NYC is a hotdog but NYC is not a hot dog
We use time series methods with learning methods to give geo-timeseries forecast and offer policy-recommendation and relevant numerical output
Anomaly Detection with Logistic Regression
We looked to develop a method to advise potential AirBnB hosts on the right locations and types of properties to invest their time and money into
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