rakibhhridoy/BigDataAnalysisWithApacheSpark-StockPrice

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rakibhhridoy/BigDataAnalysisWithApacheSpark-StockPrice

rakibhhridoy

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Often we have to deal with large dataset, handling them with traditional method is quite tedious and time consuming. There's come the distributed method like apache spark. This repo consist distributed analysis of stock price which is quite large dataset.

AnomalyDetectionInTimeSeriesData-Keras

Statistics, signal processing, finance, econometrics, manufacturing, networking[disambiguation needed] and data mining, anomaly detection (also outlier detection) is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors in a text. Anomalies are also referred to as outliers, novelties, noise, deviations and exceptions.

Jupyter Notebook

ModelServingApplication-Tensorflow-Flask

Tensorflow deep learning model serving using flask. The template is simple as main concern is building the web app. Template making quite easy than serving,it shows all the steps needed to linking the model with our web application.

rakibhhridoy.github.io

personal portfolio and blog site

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A experimental bot for automation.

LinuxAdministration

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Jupyter Notebook

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Jupyter Notebook

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Jupyter Notebook

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Jupyter Notebook

MachineLearningWebAppDeploy-Flask

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ExploratoryDataAnalysis-Python

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Jupyter Notebook

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Jupyter Notebook