shayleaschreurs Goto Github PK

algorithmic-trading

My goal is to do the following: Implement an algorithmic trading strategy that uses machine learning to automate the trade decisions. Adjust the input parameters to optimize the trading algorithm. Train a new machine learning model and compare its performance to that of a baseline model.

blockchain_ledger_with_streamlit

Create a blockchain ledger and test it using Streamlit

blockchain_wallets

My goal is to complete the following: Import Ethereum transaction functions into the KryptoJobs2Go application. Sign and run a payment transaction. Inspect the transaction in Ganache.

creating_an_erc20_token

I am creating a fungible token that’s ERC-20 compliant. I'll launch a crowdsale that will allow people who are moving to Mars to convert their earthling money to KaseiCoin by doing the following: Create the KaseiCoin Token, Crowdsale, and Deployer contracts, and Deploy the Crowdsale to a local blockchain.

deep_neural_networks

Module 13 - I am creating a binary classification model using a deep neural network by preprocessing data for a neural network model , using the model-fit-predict pattern to compile and evaluate a binary classification model , and optimize the model.

financial_planning_with_alpacas_api

Module 5 - I'm creating a financial planner for emergencies and one for retirement while utilizing Alpacas API and the Monte Carlo Simulation

git_command_cheatsheet

joint_savings_smart_contracts

My Goal is to do the following: Create a Joint Savings Account Contract in Solidity. Compile and Deploy Your Contract in the JavaScript VM. Interact with Your Deployed Smart Contract.

machine-learning-trading-bot

Our goal was to create a ML bot that analyzes real time trading data to determine the most opportune times buy and sell stock

nft_graduation_certificate

The project is a certificate minter that allows institutions to issue and verify digital certificates using blockchain technology. The minter is built using a combination of Python, Solidity, and Streamlit.

py_pandas_quantitative_analysis

Module 4 - I am creating an analysis notebook that analyzes and visualizes the major metrics of several portfolios, then using this analysis to create a custom portfolio of stocks and compare its performance.

pybank_python

Module 2 - I am creating a Python script that analyzes records from a bank record

python_data_visualization

Module 6- I am creating an analysis of the housing rental market data for San Francisco. The analysis will be complete with professionally styled and formatted interactive visualizations.

real-estate-value-finder

This is a collaboration with two classmates to create a program that shows us some of the best valued homes in any city or neighborhood by analyzing and sorting data of comparables using the Reality Mole API. We then created graphs using hvplot to easily visualize which homes in the area show the greatest investment potential.

sql-fraud_prevention

Module 7 - I will define a database model to store the credit card transactions data to create a new PostgreSQL database, create a database schema on PostgreSQL and populate the database from the CSV files provided, and analyze the data to identify possible fraudulent transactions trends.

supervised_learning_regression_model

Module 12 - Using the imblearn , I'll use a logistic regression model to compare 2 versions of a dataset. First, I’ll use the original data. Next, I’ll resample the data by using RandomOverSampler. In both cases, I’ll get the count of the target classes, train a logistic regression classifier, calculate the balanced accuracy score, generate a con

time-series_analysis

Module 11 - I will be creating a visual depiction of seasonality (as measured by Google Search traffic), an evaluation of how the company stock price correlates to Google Search traffic, A Prophet forecast model that can predict hourly user search traffic, and a plot of a forecast for the company’s future revenue.

unsupervised_learning

Module 10 - Using python programming and unsupervised learning, I am creating a notebook that clusters cryptocurrencies by their performance in different time periods. Then I will plot the results for a better visual

venmo-case-study

This is a case study on Venmo explaining the company's background, its technology, and how it performs in comparision to some of it's competitors.