Pinned Repositories
Blockchain-smart-contracts-Solidity
Creation of Ethereum smart contracts with Solidity using Ganache, the in-memory blockchain tool for development and testing.
Blockchain_Network
Creation of a Blockchain network tested with transactions.
Credit-Risk-Prediction-with-Machine-Learning
Use the imbalanced-learn and Scikit-learn libraries to build and evaluate models using the two following techniques: Resampling and Ensemble Learning for credit risk prediction.
data_cleaning_SQL
Deep-Learning-RNN-Stock-Prediction
LSTM Stock Predictor Using Closing Prices
Investment-Portfolios-Analysis
Investment portfolio analysis notebook that compares a custom portfolio with the S&P 500, Mutual Funds, Hedge Funds and "Whale investors" like Soros and Buffet portfolios, by different metrics using Pandas.
Investment-Projection-Monte-Carlo-Simulation
Budget analysis from account data and Performance Projection of an investment portfolio using Monte Carlo simulation. Fetching data from IEX and Plaid APIs.
K-means-analysis-AWS
Analysis of cryptocurrencies market with PCA and K-means using Amazon SageMaker
Project-Deep-Learning-Analysis-of-Supply-Chain
Supply chain's data to predict stock price of Intel using Deep Learning
Project-Time-Series-Forecasting-for-Algorithmic-Trading
Prediction of Moving Average Convergence Divergence (MACD) using Multi Step Recurrent Neural Network LSTM Model for algorithmic trading.
salomonysmayel's Repositories
salomonysmayel/Investment-Portfolios-Analysis
Investment portfolio analysis notebook that compares a custom portfolio with the S&P 500, Mutual Funds, Hedge Funds and "Whale investors" like Soros and Buffet portfolios, by different metrics using Pandas.
salomonysmayel/Investment-Projection-Monte-Carlo-Simulation
Budget analysis from account data and Performance Projection of an investment portfolio using Monte Carlo simulation. Fetching data from IEX and Plaid APIs.
salomonysmayel/Project-Deep-Learning-Analysis-of-Supply-Chain
Supply chain's data to predict stock price of Intel using Deep Learning
salomonysmayel/Project-Time-Series-Forecasting-for-Algorithmic-Trading
Prediction of Moving Average Convergence Divergence (MACD) using Multi Step Recurrent Neural Network LSTM Model for algorithmic trading.
salomonysmayel/Blockchain-smart-contracts-Solidity
Creation of Ethereum smart contracts with Solidity using Ganache, the in-memory blockchain tool for development and testing.
salomonysmayel/Blockchain_Network
Creation of a Blockchain network tested with transactions.
salomonysmayel/Credit-Risk-Prediction-with-Machine-Learning
Use the imbalanced-learn and Scikit-learn libraries to build and evaluate models using the two following techniques: Resampling and Ensemble Learning for credit risk prediction.
salomonysmayel/data_cleaning_SQL
salomonysmayel/Deep-Learning-RNN-Stock-Prediction
LSTM Stock Predictor Using Closing Prices
salomonysmayel/K-means-analysis-AWS
Analysis of cryptocurrencies market with PCA and K-means using Amazon SageMaker
salomonysmayel/NLP-Analysis
Natural Language Processing to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum
salomonysmayel/salomonysmayel.github.io
salomonysmayel/salomonysmayel2.github.io
salomonysmayel/SQL_COVID_QUERIES_PROJECT
salomonysmayel/Statistical-Testing-
Statistical analysis on stock market data by applying hypothesis testing, parameter estimation to see how the data is mathematically distribuited, to elucidate underlying trends and to detect outliers affecting the quality of the data. This project was part of the coursework from Probability and Statistics graduate course that I took from Columbia University's Engineering Department
salomonysmayel/Time-Series-and-Linear-Regression-Forecastings
Prediction of future movements in the value of the Japanese yen vs. the U.S. dollar. using time series models and linear regression.
salomonysmayel/Visualization-Project
Creation of dashboard to provide charts, maps, and interactive visualizations of Real State data
salomonysmayel/weather_prediction