Machine Learning

/Machine Learning

Fraud Detection and Fraud Prevention Analytics

By | 2017-03-22T17:38:16+00:00 March 22nd, 2017|Categories: Data Science, Fraud Prevention Analytics, Machine Learning|

The purpose of the study was to 1) iterate through fraud pattern changes, 2) detect anomalies using strong data profiling, and 3) study fraud indicators, derived from the current transaction attributes as well as cardholder’s historical activities. We built models using algorithms and machine learning. We provided more predictive capabilities that could identify and mitigate fraud. [...]

Sales Prediction Algorithm

By | 2016-11-04T17:31:15+00:00 November 4th, 2016|Categories: Data Science, Machine Learning|

  The purpose of the study was to predict the sales per day for each of the next 100 days. We created a general purpose data science module in python that could Digest the daily sales data for the past 3 years and develop a model Identify and use any publicly available sources of data [...]

Real Estate Forecast Algorithm

By | 2016-10-03T17:29:25+00:00 October 3rd, 2016|Categories: Data Science, Machine Learning, Predictive Models|

The purpose of this study was to forecast the sales and leasing revenue derived from non-managed properties for the next six-month period, based on the historical information in the Input data sheet for the previous six months. The hypothesis being tested was: H1: The sales and leasing revenue derived from non-managed properties will improve. We [...]

Healthcare Paid Claim Data Modeling and Analysis

By | 2016-09-02T17:32:40+00:00 September 2nd, 2016|Categories: Data Science, Machine Learning|

The purpose of the study was to predict the likelihood of a claim being part of an accident. We developed the algorithm that could leverage features, both from the claims and potentially beyond the claims. We inserted an algorithm into our client's existing ETL process and provided a single, key metric:  likelihood of this claim [...]

Equity Trading Algorithms for Market Opens and Closes

By | 2016-06-01T18:06:37+00:00 June 1st, 2016|Categories: Data Science, Machine Learning|

We developed equities market algorithms for use in trading, with focus on market open and closing 5-10 minutes. We looked at trading situations on the micro scale. We analyzed, compared, and modeled rapid small movements in price. We detected and formulated repeatable patterns in the rapidly changing pace of market opens and closes. The deliverables [...]

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This Sliding Bar can be switched on or off in theme options, and can take any widget you throw at it or even fill it with your custom HTML Code. Its perfect for grabbing the attention of your viewers. Choose between 1, 2, 3 or 4 columns, set the background color, widget divider color, activate transparency, a top border or fully disable it on desktop and mobile.