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Machine Learning Portfolio

Increasing profit with Machine Learning

Business Case In the attempt to contain the expansion of illegitimate products, a software regularization organization presented interest in knowing which of the people they intend to call will actually provide monetary results to the corporation. The company sought clients that had a genuine interest in leaving illegal software in the past and acquiring legitimate […]

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Data Science Machine Learning

Random Forests: Step by Step

Computer scientist Tin Kam Ho introduced Random Forests in an article back in 1995. Over the years, the algorithm has become very popular for Classification and Regression problems in Machine Learning. Random Forests rank very high up the performance hierarchy. Widely used by data scientists to predict all sorts of scenarios, the combination of multiple […]

Categories
Data Science Machine Learning

Causal Inference

Causal Inference is the study of relationships between cause and effect. The main goal behind the process is to gather observations and determine what caused them, based on the data available. This is possible with the help of experiments and Hypothesis Testing. Causal Inference determines whether the predictive models and decisions really worked. For that […]