This repository contains projects in Python and R, mainly in the area of finance, financial modeling and statistics.
Programming I create to show how to use Ipywidgets to visualize future value with different tax rates. You can see my article here.
you can see the project here
The project shows important statiscal characteristics of a financial time series and how to forecast stock price movements.
The Visualizing Tech Stocks is a project from Codecademy site. In this project the top 5 highest valued technology stocks were analyzed and visualized , as of the end of the first half of 2019: Microsoft (NASDAQ:MSFT), Amazon (NASDAQ:AMZN), Apple (NASDAQ:AAPL), Alphabet (NASDAQ:GOOG), and Facebook (NASDAQ:FB).
A project about automatic credit card approval predictor using machine learning techniques. I did this project on DataCamp platform.
A system that emulates the transactions that are carried out by either a bank teller or an ATM machine. I did this project on codecademy site. It was implemented the following five features:
Return the balance that the customer has in the bank Allow the customer to make a deposit to their bank account Allow the customer to make a withdrawal to their bank account Allow the customer to decide whether to make the transaction with checking or savings account Allow the customer to make a transfer between savings and checking account
This project came from DataCamp course plataform.
Some codes about basic principles of finance essential for making important financial decisions. The examples are from DataCamp course.
Programming from Coursera course that presents how to discount future liabilities to compute the present value of future liabilities, and measure the funding ratio.