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Bank-of-Canada-Statistics Public
This notebook provides examples of some of the monetary policy and financial market statistics provided by the Bank of Canada. It pulls the data into dataframes that can be used for further data tr…
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Three Solidity smart contracts that can be used for compensation arrangements that may be set up by a company HR.
UpdatedMar 8, 2021 -
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Market data cleaning and portfolio analysis with Python and Pandas
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Tales_from_the_Crypto Public
Use of Natural Language Processing (NLP) techniques such as Sentiment Analysis and Named Entity Recognition to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum
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Robo_Advisor Public
Robo advisor with Amazon Lex bot enhanced with lambda function
Jupyter Notebook UpdatedDec 22, 2020 -
A_Yen_for_the_Future Public
Exchange rate forecasting using the time-series analysis and linear regression techniques.
Jupyter Notebook UpdatedDec 15, 2020 -
API_in_Financial_Planning Public
Use of APIs for fetching the stocks and crypto data for portfolio construction and analysis and for financial planning
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Risky_Business Public
Using machine learning (ML) models to predict credit risk using data typically analysed by peer-to-peer lending services. Resampling data with SMOTE, Cluster Centroids, SMOTEENN and applying ensemb…
machine-learning ensemble-learning smote random-forest-classifier credit-risk cluster-centroids smoteennJupyter Notebook UpdatedDec 7, 2020