Dmitry Levshenkov's repositories
Bank-of-Canada-Statistics
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 transformation and analysis.
API_in_Financial_Planning
Use of APIs for fetching the stocks and crypto data for portfolio construction and analysis and for financial planning
Inv_Strategy_Analysis_with_Pandas
Market data cleaning and portfolio analysis with Python and Pandas
Tales_from_the_Crypto
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
A_Yen_for_the_Future
Exchange rate forecasting using the time-series analysis and linear regression techniques.
Blockchain
Step-by-step building of a PoA blockchain
Smart-Contracts-with-Solidity
Three Solidity smart contracts that can be used for compensation arrangements that may be set up by a company HR.
Risky_Business
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 ensemble learning classifiers: Balanced Random Forest Classifier and Easy Ensemble Classifier.
Robo_Advisor
Robo advisor with Amazon Lex bot enhanced with lambda function