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GitHub / Divya171997 / Big-Data-for-Computational-Finance-Forex_Exchange_Rate
Analysis of forex exchange rate dataset, covering the historical aspects over the period of time, in short doing Timeseries Analysis ,Data Cleansing and Transformation of Forex Exchange Dataset in order to transform it in format or structure required during Timeseries Analysis and Machine Learning ,Visualization of Forex Exchange Dataset based on Timeseries Analysis done on it,Applying ARIMA MODEL, a Machine Learning algorithm, used to perform forecasting or predicting future value.
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 2.22 MB
Dependencies: pending
Created: almost 4 years ago
Updated: 8 months ago
Last pushed: almost 4 years ago
Last synced: 8 months ago
Topics: apply-ml-algo, data-cleaning, data-profiling, data-wrangling, html-report-of-data-analysis, loading-dataset, timeseries-analysis-of-single-month, timeseries-analysis-of-single-year, visualization-of-each-currency, visualizing-actual-vs-predicted