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1. Predicting-Real-Estate-Price Predicting-Real-Estate-Price Public

   Data Scientists were tasked with developing a machine learning model that will be used to estimate real estate based on provided explanatory variables. It is based on market historical dataset of r…

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2. Predicting-High-Risk-Credit-Card-Applicants Predicting-High-Risk-Credit-Card-Applicants Public

   This case presents a model for financial institutions to predict high risk credit card customers based on lifestyle variables. It uses the support vector machine model to check whether applicant is…

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3. Classification-of-Exercise-Movements Classification-of-Exercise-Movements Public

   This project on practical machine learning works on a data set about the exercise movements of mobile users. In this project we will explore the data set, train machine learning models (using Class…

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4. Predicting-Credit-Card-Fraud Predicting-Credit-Card-Fraud Public

   Company is interested to implement a machine learning model that will identify fraudulent transactions. The data set provided contains 30 features and 284,807 records. The V-Columns represent compo…

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5. Mall-Customer-Insight Mall-Customer-Insight Public

   This uses Pyspark for clustering customers using Kmeans++. The administration is looking to cluster their customers in terms of features such as sex, age, annual income (in thousand), and spending …

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6. Regression Regression Public

   The goal of the analysis is to confirm whether documentation processing (or any other variables) contribute much to the length of hospital stay (in minutes).

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