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1. CC_Fraud_Detector CC_Fraud_Detector Public

   Implementation of various machine learning techniques to detect credit card frauds based on a given dataset. This repo will guide you through the data analysis, viz and building predictive models

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2. paired_sample_t_test paired_sample_t_test Public

   This repository will explain about paired sample t-test, the test procedure and how to use it using Scipy library of Python.

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3. sharpe_ratio_explained sharpe_ratio_explained Public

   Sharpe-ratio, a measure of the performance of an investment is explained by investigating Facebook & Amazon share value as opposed to 500 companies in S&P 500 in 2016

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4. customer_segmentation customer_segmentation Public

   This repo explains how to use KMeans classifier to create customer segmentation to help the marketing team of local supermarket in launching a campaign of new products

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5. product-purchase-prediction product-purchase-prediction Public

   machine learning model deployment through Heruko app. Random Forest classifier is used to predict customer purchasing behaviour, Flask to create web-app and Heruko platform to deploy the model.

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6. Predictive_maintenance_ML Predictive_maintenance_ML Public

   Showcase how machine learning can help plant operator monitor equipment condition through correctly analyzing measurement data collected from many sensors.

   Jupyter Notebook 9 7